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Staff + Sr. Software Engineer, Cloud Inference Lau...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities - Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform - Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production - Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds - Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production - Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability - Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications - Have a strong interest in LLM serving; prior inference or ML experience is not required - Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users - Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability - Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration - Thrive in cross-functional collaboration with both internal teams and external partners - Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems - Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications - LLM inference optimization, batching, and caching strategies - Capacity-constrained scheduling or shared-resource test infrastructure - Solid understanding of multi-region deployments, request routing, load balancing, global traffic management - Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service - Proficiency in Python or Rust The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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Applied AI Engineer, Beneficial Deployments

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments: Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor. About the role: We're looking for an Applied AI Engineer to join our Beneficial Deployments team. You’ll use your deep technical expertise to help partners accelerate their impact through advising on evals, hill-climbing on harnesses, prototyping new agents, etc. You will also work on building ecosystem-level tooling and infrastructure to scale impact beyond individual partnerships. Responsibilities: - Serve as a deep technical partner to mission-driven organizations through advising on evals, agent architectures, context engineering, cost optimization, and more - Provide hands-on support to partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development - Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP’s, and Agent Skills - Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research - Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self-service - Help shape team processes and culture as we scale from 1 to N - Travel occasionally to customer sites for workshops, technical deep dives, and relationship building You might be a good fit if you have: - 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder - Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale - Builder credibility that earns trust with technical founders and engineering teams—you've shipped products and can speak from experience - Experience working in ed-tech, healthcare, scientific research, nonprofit, or other mission-driven organizations, understanding their unique challenges and constraints - A love of teaching, mentoring, and helping others succeed - A scrappy mentality - comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £240,000 - £255,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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Strategic Account Executive, Cybersecurity

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Strategic Account Executive focused on cybersecurity, you'll own some of Anthropic's most strategic cybersecurity relationships—companies building the next generation of AI-powered security products. These aren't typical enterprise accounts; they're partners shaping how AI transforms the entire security industry. You'll drive multi-million dollar commitments by expanding Claude's footprint across customer product portfolios (AI-powered SOC, threat detection, security copilots) and internal operations (Claude Code for engineering teams). You'll work at the intersection of executive relationships and technical depth—one week you're in a CTO strategy session, the next you're helping an engineering team scope an agentic deployment. This role requires someone who can think like a partner, not just a seller. You'll collaborate closely with our Applied AI team on custom deployments, work with Product on cybersecurity-specific capabilities, and help shape Anthropic's go-to-market in one of our highest-potential verticals. Responsibilities: - Win business and drive revenue within a book of strategic cybersecurity accounts.Own the full sales cycle from prospecting to close - Drive expansion across multiple buying centers within strategic accounts—product teams building customer-facing AI features, platform teams deploying Claude Code to engineering orgs, and security research teams exploring frontier capabilities - Navigate complex organizational structures across security, product, engineering, and executive teams. Build multi-threaded relationships with CISOs, security architects, product and engineering leaders, and C-suite executives - Partner with Solutions Architect and Product teams on technical scoping, custom agent development, and enterprise deployments - Design and execute innovative sales strategies tailored to the cybersecurity market. Analyze account landscape, competitive dynamics, and emerging security trends to inform targeted sales activities - Identify and develop use cases across security operations (SecOps automation, threat hunting, alert triage), security product development (AI-powered detection, intelligent response), and internal security functions - Navigate unique considerations of AI in security contexts, including model guardrails, responsible deployment, and emerging use cases like AI red-teaming - Own sophisticated deal cycles involving security evaluations, red team assessments, and complex procurement processes. Navigate security and compliance requirements with patience and expertise - Build and maintain accurate pipeline forecasting for complex, multi-workstream accounts. Develop deep understanding of how large security vendors budget for AI infrastructure across product and internal use cases - Serve as the voice of the cybersecurity customer internally. Inform product roadmaps by gathering feedback on security-specific requirements, compliance needs, and competitive gaps - Develop cybersecurity-specific sales playbooks, case studies, and best practices. Contribute to building Anthropic's reputation as a trusted partner in the security ecosystem You May Be a Good Fit If You Have: - 8+ years of enterprise sales experience with a proven track record of closing complex deals, including at least 3 years selling to or within the cybersecurity industry - Deep understanding of the cybersecurity landscape including key market segments (endpoint, cloud security, SIEM/SOAR, identity, threat intelligence), major players, and emerging trends - Experience selling to security-focused buyers (CISOs, security architects, SOC leaders) and navigating security-specific procurement processes - Strong executive presence with demonstrated ability to engage C-suite executives, board members, and senior security leaders. Ability to articulate both technical value and business impact - Experience with security and compliance frameworks (SOC 2, FedRAMP, ISO 27001) and comfort discussing data handling, model security, and responsible AI deployment - Consultative sales approach with ability to understand complex security challenges and craft tailored solutions. Position yourself as a strategic advisor on AI adoption in security contexts - Strong cross-functional collaboration skills with ability to mobilize internal resources including product, engineering, security, and legal teams for complex deals - Resourcefulness and creative problem-solving when faced with security objections, compliance requirements, or technical challenges unique to the security vertical - Passion for both AI and cybersecurity with enthusiasm for helping security organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems - Must be located in San Francisco Nice to Have - Prior experience at a cybersecurity vendor or in a security-focused role - Technical background or certifications in cybersecurity (CISSP, CISM, or similar) - Existing relationships with CISOs and security leaders at target accounts - Experience selling AI/ML solutions into security use cases The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 - $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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Staff+ Software Engineer, Capacity Engineering

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: - Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. - Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. - Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. - Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities - Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. - Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. At this fleet size a single point of utilization is worth eight figures a month. - Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. - Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. - Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. - Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring - A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. - Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. - Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations - Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. - Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications - Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. - Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. - Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. - Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. - Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. - Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. - Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

Safeguards Enforcement Analyst, Violence & Extremi...

$285,000 – $330,000

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst focused on Violence & Extremism, you will be responsible for building and executing operational workflows to assess model behavior, drive enforcement decisions, and develop evals across a technically demanding range of policy areas. Your work spans detecting and mitigating attempts to misuse Anthropic's AI systems to facilitate real-world harm, including weapons and dangerous technology, critical infrastructure attacks, violent extremism, and threats of violence. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, graphic, hateful, or psychologically disturbing nature. Key responsibilities - Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy - Develop and maintain evals that measure model performance on these policy areas, surface regressions, and inform policy and model improvements - Partner with Engineering and Data Science to optimize detection and automated enforcement systems for potential policy violations - Review flagged content to drive enforcement decisions and surface policy gaps, with particular attention to novel or technically sophisticated misuse attempts + emerging extremist movements, ideologies, and mobilization tactics - Support the Safeguards policy design team by providing structured feedback on policy gaps and enforcement ambiguities based on real enforcement scenarios - Develop and maintain enforcement guidelines and reviewer documentation that enable accurate, consistent enforcement across a wide range of content - Keep up to date with emerging threats, terrorist and extremist movements, regulatory changes, and AI policy enforcement best practices, and apply these to inform our workflows and evals - Identify and escalate emerging misuse patterns, novel attack vectors, and signs of coordinated violent extremist activity Minimum qualifications - Experience in policy enforcement, threat intelligence, counterterrorism, government, or a closely related field, with direct exposure to harmful content, dangerous technology, violent extremism, or physical harm facilitation - Experience standing up and scaling policy enforcement or content review workflows - Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health - Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams - Experience working with generative AI products, including writing effective prompts for content review and enforcement - Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications - Subject matter expertise in one or more high-stakes harm areas, such as weapons and dangerous technology, violent extremism, terrorism, autonomous systems, or critical infrastructure protection - Familiarity with relevant legal and regulatory frameworks governing dangerous technology, critical infrastructure, or domestic/international terrorism - Experience developing evals or red-teaming AI systems, particularly for harmful content or policy enforcement use cases - Experience with threat actor profiling and threat intelligence frameworks (e.g., MITRE ATT&CK) - Experience tracking threat actors, extremist networks, or misuse patterns across surface, deep, and dark web environments - Experience with large language models and an understanding of how AI technology could provide meaningful uplift toward serious harm - Proficiency in Python for data analysis and workflow automation - Background in law enforcement, national security, defense, counterterrorism, or a relevant regulatory environment - Experience assessing the technical plausibility and real-world harm potential of content, including the ability to distinguish between general educational content and genuine operational uplift, and between protected speech and genuine incitement/mobilization - Familiarity with cross-platform threat analysis and OSINT techniques The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

Manager, Account Executive - Enterprise Sales

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a leader within our Enterprise Industries sales team, you will build and lead an industry-aligned team that brings transformational AI to enterprises across telecommunications, media & entertainment, retail & consumer, industrials & manufacturing, and business services. These are companies rethinking how they serve customers, create and distribute content, run stores and supply chains, and operate physical infrastructure — and they're looking for a partner they trust to take frontier AI from promising pilots into production at the core of their business. You'll own a broad portfolio of enterprise accounts at very different stages of AI adoption, from organizations already running Claude in production to those just beginning their journey. You will lead Enterprise Account Executives, design the coverage and territory model, and build the repeatable, industry-specific plays that turn early wins into durable, scaled adoption. The selling is technical and multi-stakeholder — platform decisions, security and procurement rigor, and solutions built on Claude through our API, Claude for Enterprise, Claude Code, and partner cloud platforms — and you'll shape strategy and operating rhythm while staying personally engaged with executives on the pursuits that matter most. This is a rare opportunity to build a team, not just run a number: to shape how a broad cross-section of the economy adopts frontier AI, and to do it at a company where safety, trust, and long-term customer outcomes are central to how we sell. Key responsibilities: - Recruit, coach, and retain Enterprise Account Executives with deep industry and platform-selling expertise; develop and retain top talent - Codify the use cases, proof points, reference stories, and sales motions that make wins repeatable within each industry, partnering with Marketing, Enablement, and partner teams to scale them - Engage personally with C-level executives on priority pursuits, building business cases and value narratives and navigating complex procurement, security, and legal processes through to production deployment and expansion - Own the team’s revenue targets and operating rhythm, instilling pipeline-generation discipline and running forecasting, deal inspection, and account planning cadences that make performance predictable and coachable across a high-volume book of business - Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate industry needs into product and roadmap input - Orchestrate cross-functional and partner motions with Customer Success, Marketing, Partnerships, Legal, and cloud partners to deliver a seamless customer experience, and represent Anthropic with customers and at industry events as a visible, trusted leader Minimum qualifications: - Experience leading enterprise sales teams that sell technical, complex products such as API-first platforms, cloud infrastructure, or data and machine learning platforms - Player-coach sales leader who has personally built and run a high-velocity greenfield motion, someone who thinks in coverage models, PG cadence, and repeatable plays first, deals second - ideally forged at a consumption or PLG platform company, with the vertical depth and partner fluency (CSP/GSI) to activate a 300-account book from day one - A track record of winning and growing enterprise customers, including building C-suite relationships, in one or more of our focus industries (telecommunications, media & entertainment, retail & consumer, industrials & manufacturing, or business services) - Experience designing go-to-market coverage for an enterprise sales team, including but not limited to account prioritization - Operational rigor across both a high-volume pipeline and complex, multi-stakeholder sales cycles, balancing velocity with deal quality and forecasting accurately in fast-changing environments - Credibility with technical buyers and builders — CIOs, CTOs, CDOs — and experience pairing effectively with solutions architects and applied AI teams - Strong coaching skills that raise team performance through deal coaching and account strategy, combined with personal effectiveness alongside executives on high-priority opportunities - A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications: - Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to enterprises in these industries - Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators - Experience standing up or running scaled or velocity sales motions alongside traditional field coverage - Familiarity with consumption- or usage-based commercial models and value-based pricing conversations - Experience leading organizations through rapid growth, re-segmentation, or significant change The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $435,000 - $550,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

S

Forward Deployed Product Manager, Public Sector

Negotiable

Scale is accelerating the development of AI across the world's most important organizations, including the U.S. Department of War (DoW), its constituent services, and the broader U.S. National Security industry. The Product Manager, Public Sector will lead Scale's product efforts across two connected focus areas — military planning and real-time AI and Alerting (LUX) — shaping real production outcomes and translating messy operational reality into high-signal input for the core platform. This is not a roadmap PM, a CSM, or a solutions engineer. This PM owns product outcomes for a cross-cutting portfolio of AI and data capabilities: earning deep trust with senior military, civilian, and mission stakeholders, driving deployments to production inside classified and operationally constrained environments, identifying where the product is the bottleneck vs. execution, and feeding durable, specific signal back to Scale's platform team. The best candidates have shipped AI or real-time data products into defense or other large, security-constrained organizations and can tell the difference between a customer's stated request, their actual problem, and what the platform should do. What You'll Do - Own product outcomes across Scale's military planning portfolio and/or its highest-impact national security accounts for LUX, spanning multiple DoW and National Security stakeholders and use cases. You are the accountable PM for product delivery and customer value. - Translate operational reality into high-signal product input for engineering and platform teams — specific, evidence-backed product perspective with tradeoffs articulated, not requirements docs. This includes military planning workflows (e.g., the Joint Planning Process) and modeling/simulation requirements (e.g., AFSIM), as well as real customer workflows, latency/throughput constraints, and mission priorities for LUX. - Build trusted advisory relationships with senior military leaders (flag/general officer and senior civilian equivalents), National Security customer stakeholders, and senior technical leads. Become the reliable escalation point on the Scale side before issues surface externally. - Drive deployments from contract to production inside classified and operationally constrained environments — whether that means military planning workflows or LUX's low-latency, high-throughput, mission-critical data systems. You know what "production-ready" means inside DoW, and you close the gap. - Distinguish where the product is the constraint from where execution, integration, policy, or change management is the constraint. Drive each type of blocker to resolution through the right channel. - Shape a cross-cutting set of solutions spanning multiple stakeholders, echelons, and use cases, rather than owning a single point deployment. - Partner closely with Forward Deployed Engineering (FDE) teams and Platform Capability teams so the account runs as a coordinated team, not a set of parallel workstreams. - Identify and develop expansion opportunities grounded in demonstrated customer value. - Represent customer reality to the platform and leadership with enough credibility that it changes decisions. - Balance competing requirements across CCMDs and service components that must collaborate despite differing needs — distinct from building for a single customer. - Travel as required to customer sites, including classified facilities. What We're Looking For Core Competencies: - Enterprise deployment ownership : has driven AI/ML or complex/real-time software products from contract to production at scale — including near-zero-to-one, with no real users yet — with real integration, real security constraints, and real change management. - Domain fluency : working knowledge of the military planning process and modeling/simulation tools (e.g., Joint Planning Process, AFSIM), and/or the tradeoffs inherent to real-time, event-driven, high-throughput data architectures and their implications for AI agents — and how each shapes product decisions. - Product judgment in the field : translates customer reality into product direction, not just feature requests; can say no credibly and explain why. - Customer trust-building : earns and maintains trust with demanding senior military, civilian, and mission stakeholders over multi-quarter engagements; manages conflict without eroding the relationship. - Technical translation : bridges the gap between customer engineering/planning teams and Scale platform engineers; adds interpretation rather than simply relaying messages. - Operating in ambiguity and constrained environments : creates structure where there is none; makes decisions with incomplete information inside classified settings; does not wait for fully defined requirements. - Clear, precise communication : adjusts for audience (senior leader vs. engineer vs. PM); writes and speaks at the right level of detail; does not over- or under-explain. Must-Have: - Active TOP SECRET security clearance (TS/SCI eligibility preferred). - 6+ years in product management, technical program management, or a customer-facing product ownership role, including experience operating at an L6 (senior/staff) level of scope and autonomy. - Direct experience working with the U.S. Department of War (DoW) or the broader U.S. national security community. - Working knowledge of at least one of the following, with an ability to speak credibly to the other: - The military planning process (e.g., the Joint Planning Process) and modeling/simulation systems (e.g., AFSIM). - Real-time streaming data systems — event-driven architectures, low-latency pipelines, and high-throughput data processing — and how they behave in production. - Demonstrated record of shipping AI or data products into large, constrained, classified, or highly regulated organizations — not pilots or proofs-of-concept. You can name the customer, the scale, the integration, and what production actually looked like. - Extreme ownership and follow-through: closes loops without reminders, drives outcomes across teams without formal authority, holds self and others to commitments. - Comfortable operating with senior military/civilian/mission stakeholders and senior engineers simultaneously; credible presence in high-stakes rooms on both sides. - Strong judgment under pressure: makes good calls quickly with incomplete information, knows when to escalate vs. resolve, does not generate thrash. - Technical fluency sufficient to hold a real conversation with a platform engineer about architectural tradeoffs — not deep coding, but genuine comprehension of how systems work in production. - Ability to shape a cross-cutting set of solutions across multiple stakeholders and use cases, rather than customer-specific solutions. - Ability to travel, including to classified facilities. Nice-To-Have: - Direct experience with AI/ML platform products — agentic capabilities, human-agent interaction, large-scale data, some T&E; or data labeling, RLHF, fine-tuning workflows, and model evaluation pipelines. - Hands-on familiarity with streaming technologies (e.g., Kafka, Flink, Kinesis) or the operational systems that consume them. - Experience in a startup or early-stage environment where process didn't exist and had to be created. - Prior forward-deployed or embedded role (consulting, field PM, solutions engineering with ownership). - Prior military service or DoD/DoW civilian experience in an operations, planning, or acquisitions role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $276,000 - $345,000 USD Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is: $248,800 - $311,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

S

Software Engineering Manager, Public Sector

Negotiable

Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We’re looking for a hands-on Engineering Manager to lead a team of software engineers building core products and infrastructure for these customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. You’ll play a critical role in delivering backend systems, distributed platforms, and ML tooling used by our public sector partners—all while helping your team grow and execute. You’ll split your time between technical planning and execution (50%) and people management and team development (50%) , leading a team of 6-8 engineers. You’ll work cross-functionally with product, security, and customer-facing teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Must be able to commute to office three times per week You will: - Recruit a high-performing engineering team. - Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects. - Collaborating with cross-functional teams to define, design, and execute strategic roadmap. - Navigate and deliver outcomes while navigating through complex public sector compliance requirements and frameworks. - Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure - Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners - Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions - Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions - Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings - Have or ability to obtain a TS/SCI clearance Ideally you’d have: - 5+ years of full-time engineering experience, post-graduation - 2+ years of prior engineering management or equivalent experience and has managed an engineering team. - Have extensive experience in software development - Experience scaling products at hyper-growth startups - Excitement to work with AI technologies and their applications for the public sector - Extremely strong track record as an individual contributor - Show a track record of mentoring and leading teams in successful projects - Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders Nice to haves: - TS/SCI Clearance - Deep technical knowledge of Software Development, willing to get deep into the weeds to solve problems alongside the team. - Have experience with AI platforms and technologies, including generative models and LLMs. - Have previous experience in government or government facing technology roles - Experience with cloud-native technologies, full stack development, data engineering, and ml ops infrastructure Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York is: $216,000 - $270,000 USD Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC is: $194,400 - $243,000 USD Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of St Louis is: $162,400 - $203,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

S

Software Engineer, Public Sector

Negotiable

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: - Create multi-layered guardrails around agents - Optimize data retrieval for agents - Orchestrate fleets of asynchronous agents - Automatically alerts users to deviations in data - Illustrating how an agent reached a decision As a Software Engineer, you will own the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure. - Build features for agentic systems including multi-layered guardrails and data retrieval optimization. - Develop data pipelines and machine learning infrastructure to make data sources accessible by agents. - Collaborate with cross-functional teams to execute backend solutions for secure environments. - Participate in customer engagements to understand requirements and deliver technical solutions. - Define requirements with stakeholders and implement features until they are accepted. - Contribute to the platform roadmap and product strategy for the Federal business. Ideally you will have: - Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases - Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus - Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles - AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial. - Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles - Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment - Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $180,000 - $225,000 USD The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $162,400 - $233,000 USD The base salary range for this full-time position in the location of St. Louis is: $135,200 - $194,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

S

Senior Software Engineer, Agent Oversight

Negotiable

About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems team is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power Agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As a Software Engineer on Agent Oversight, you will build the platform infrastructure that lets our production agents be observed, evaluated, and improved at scale. This includes building observability tooling, evaluation harnesses, and the pipelines that connect them to improvement loops. Whether building foundational infrastructure or partnering closely with ML engineers on production workflows, you will own your systems end-to-end while maintaining rigorous technical standards. You will: - Design and build core platform capabilities for deploying, monitoring, and evaluating agentic applications in production - Build reliable APIs and data pipelines that capture agent telemetry, evaluation signals, and performance metrics at scale - Work alongside ML engineers where platform work intersects with evaluation or improvement systems — bringing enough ML fluency to reason about model behavior, evaluation quality, and improvement loops while owning the software systems that make those workflows reliable - Own the reliability, scalability, and observability of platform components serving multiple concurrent enterprise and government customers - Work cross-functionally with product, forward deployed engineering, and customers to translate real-world deployment requirements into platform features - Build features end-to-end: system design, implementation, debugging, and testing - Participate in high-velocity experimentation to validate platform capabilities against real customer usage Requirements: - 4+ years of professional software engineering experience, with strong fundamentals in backend/distributed systems, APIs, and data pipeline design - Hands-on experience building production software for ML/LLM-powered products or platforms, such as evaluation systems, observability/monitoring, experimentation infrastructure, agent runtimes, model-serving-adjacent services, or telemetry/data pipelines - Working knowledge of how LLM or ML systems behave in production: evaluation signals, failure modes, prompt/tool-calling workflows, experiment results, data quality issues, and the tradeoffs between offline evals and live customer behavior - Experience partnering closely with ML engineers or applied researchers to turn prototypes, eval loops, or model-improvement workflows into reliable platform capabilities, without needing to own model training, modeling strategy, or research direction - Experience building infrastructure or platforms that other engineering teams build on top of (internal platform, developer tools, or similar) - Track record of taking ownership of features or components end-to-end — from design through production — within a larger platform or system - Comfortable operating in an ambiguous, fast-changing domain where tooling and best practices are still being defined - Strong problem-solving skills and the ability to work independently or as part of a tight-knit, cross-functional team - Excited to work directly with ML engineers and customer-facing teams, including challenging assumptions in designs and metrics when platform behavior, model behavior, and customer needs intersect - Gives direct, substantive feedback on designs and code, and takes it the same way — and mentors others as they grow Nice to have: - Deep experience building or maintaining observability, monitoring, or evaluation systems for ML/LLM-powered products in production - Familiarity with agent architectures — tool use, planning, multi-agent orchestration - Exposure to MLOps, feature stores, model serving, or experiment infrastructure - Experience working in regulated or enterprise contexts - Experience reviewing others’ technical designs or mentoring engineers at a senior/staff level Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000 - $270,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

S

Senior Machine Learning Engineer, Agent Oversight

Negotiable

About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems team is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As a Machine Learning Engineer on Agent Oversight, you will drive the end-to-end lifecycle that ensures our production agents perform reliably and improve over time. This includes building observability tools, designing robust evaluation frameworks, and developing improvement loops. Whether scaling infrastructure or researching new improvement methods, you will navigate the entire ML loop while maintaining rigorous technical standards. You will: - Build or contribute to observability into agent behavior in production — the signals and instrumentation needed to actually see what an agent is doing, not just whether it succeeded or failed - Design evaluation methodologies and metrics for agentic applications, and work with the platform to make them run automatically, at scale, across different customer use cases, not just as one-off analyses - Build, ship, and own ML systems that detect drift, anomalies, or misalignment in production agent behavior — from first prototype through running reliably at scale - Design and run rigorous experiments to validate model and agent performance improvements before they ship - Work alongside software engineers on the platform where your work intersects with broader infrastructure — but you’re expected to take your own work from idea to production, not hand it off - Collaborate closely with product managers, customers, data annotators, Forward Deployed Engineers, and other engineering teams to translate enterprise and government requirements into robust platform capabilities - Depending on focus, contribute to novel methods and approaches that push the state of the art for agent evaluation and improvement, or focus on building ML systems that hold up reliably at scale in production Requirements: - 5+ years of experience as an ML engineer or applied scientist, ideally on a production ML or LLM-powered system — not just consuming a third-party ML API within a feature - Strong grounding in at least two of the following: - Building or scaling evaluation, monitoring, or continuous-learning infrastructure for ML/agentic systems - Design experience for agent systems (architecture, orchestration, tool use) - Developing new methods, reward models, or model training/fine-tuning approaches - Hands-on experience with LLMs and agent architectures — tool use, planning, multi-agent orchestration - Comfortable partnering with software engineers to productionize research and experimental work, not just deliver a one-off analysis - Rigorous approach to experimentation: clear hypotheses, real statistical grounding, and results that hold up under scrutiny - Track record of collaborating across functions (Product, Forward Deployed Engineering, etc.) to navigate ambiguous requirements and bring them to production - Gives direct, substantive feedback on designs and code, and takes it the same way — and mentors others as they grow Nice to have: - Experience building or contributing to RLHF, SFT, or other fine-tuning/RL workflows, reward modeling, or verifiable-reward systems - Experience with model or systems optimization (e.g., latency, cost, or inference efficiency) - Published research, open-source contributions, or patents in agentic systems, LLMs, or applied ML - Experience working in regulated or enterprise contexts - Track record of taking a novel method from prototype to something running reliably in production, navigating ambiguity along the way - Experience reviewing others’ technical designs or mentoring engineers at a senior/staff level Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000 - $270,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. The deadline for applying to this role is Sunday 19th July 2026, end of day, anywhere on Earth. About the role AI capabilities in the life sciences are advancing faster than at any point in history. Foundation models can now design novel proteins, interpret genomic sequences. These are extraordinary tools for scientific progress, but also have the potential for harm if misused. The AI Security Institute's Chem-Bio team exists to evaluate the capability of both frontier and narrow AI models in chemistry and biology, ensuring the UK government and its partners have an accurate view of risks and capabilities. This team is one of AISI's most consequential paths to impact, at a critical moment. Over the next twelve months it will need to move faster, deliver more complex research programmes, and engage more deeply with partners in major AI labs and security services than it has before. This role is for the person who makes that possible. You will sit directly alongside the CB team's researchers: helping them structure ambiguous research questions into tractable programmes, ensuring that our research lines up with the rigorous empirical claims the team must be able to evidence to inform policy, recommending which novel technical work to start and stop, or sequence technical dependencies across workstreams. It is a research-programme architecture role, working at the interface between "what should we investigate?" and "how do we actually do so?" What you will own Research programme architecture . You will work directly with researchers to scope projects: refining what questions we're actually trying to answer, what the milestones and success criteria are for novel technical work, and how to sequence technical dependencies, resource and time across workstreams. You will be the person who turns "we should probably look into X" into a tractable research plan with clear deliverables, without imposing process that gets in researchers' way. Research delivery tracking and unblocking. You will bring a continuous improvement mindset to the team’s existing lightweight research management structures - sprint cadence, dependency maps, progress tracking - that create visibility and grip without overhead. You will surface technical blockers before they become crises and intervene directly to resolve them, and know exactly when and to whom to escalate. The goal is researchers spending their time on research, not logistics. Cross-government technical engagement. You will manage the technical interface with government partners (Dstl, UKHSA, MOD, and others) where that engagement is about research— data-sharing arrangements, conducting joint technical work, scoping requirements for access for classified compute. This role is about ensuring the work we deliver is technically sound, not about communicating its results, which sits with our exploitation colleagues. You will work closely with the CB team's delivery and exploitation colleagues to make sure the work they do is technically grounded. Team operations and pace. You will maintain the operational rhythm that lets a small, high-performing research team move at frontier speed inside government. You will ensure the team has what it needs to deliver, and that nothing falls through the cracks. Role Requirements - A track record as a technical programme manager working directly with researchers or engineers. You have managed complex technical programmes – ideally at an AI lab, a biotech startup, in defence/intelligence R&D, or in a similarly high-ambiguity research environment. You know how to scope and structure novel research work (where the answer isn't known in advance), not just deliver against a pre-defined plan. You have earned the trust of technical teams by understanding their work deeply enough to provide critical challenge, and engage beyond process. - Comfort operating at the frontier of AI. You do not need to be a machine learning researcher, but you need to be fluent enough in frontier AI to operate in constant conversation with researchers about our work, strategy and research taste; and understand what's hard, what's speculative, what's blocked, and what "good" looks like for a given experiment or evaluation. - High agency and ownership. You take responsibility for outcomes, not activities. When something is stuck, you pick up the phone. You do not wait for someone else to escalate. - Credibility with technical teams. Researchers trust you because you understand their constraints, respect their expertise, and demonstrably make their lives easier. You influence through competence and service, not authority or process. - Strong prioritisation under pressure. You can identify what actually matters this week and focus the team's energy there while keeping longer-horizon work alive. You have the judgement to recognise work that isn't landing and the confidence to escalate it or recommend that it stop. - Discretion and judgement in a sensitive domain. You understand that work at the intersection of AI and biology carries dual-use sensitivity. You are comfortable working within classified constraints and can make sound trade-offs between openness, security and pace. Strong candidates may also have: - Experience in biosecurity, life sciences, public health or adjacent domains where similar dual-use judgement is required - Prior experience at a frontier AI lab - Existing SC or DV clearance - Experience working in or with Dstl, MOD, DHSC, UKHSA or equivalent national security/adjacent bodies in other settings - Hands-on comfort with modern productivity tools (coding agents, Linear) and willingness to use AI tools as part of daily work Selection process Applications are reviewed on a rolling basis. We encourage you to apply early. - Application - CV and a short cover note (max 500 words) explaining what draws you to this role and what you would bring. - Screening interview - Lightweight conversation on trajectory, motivation and fit. - Work test - A take-home exercise designed to test programme management judgement in context. You will receive this after the screening interview. - Technical interview - Discussion of your work test with a current AISI TPM. - Behavioural interview - Deeper dive on stakeholder management, prioritisation and team dynamics. - Senior leadership interview (30 min) - Final conversation with AISI senior leadership. Security Clearance Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not required—we will sponsor and support you. You should normally have been resident in the UK for the past 5 years. You may also be required to undergo Developed Vetting (DV). DV typically requires a longer period of UK residency (around 10 years). Employment is conditional on obtaining and maintaining the required clearance(s). More detail on clearance eligibility can be found on the UK Government website: National security vetting: clearance levels - GOV.UK. What We Offer Impact you couldn't have anywhere else - Incredibly talented, mission-driven and supportive colleagues. - Direct influence on how frontier AI is governed and deployed globally. - Work with the Prime Minister’s AI Advisor and leading AI companies. - Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access - Pre-release access to multiple frontier models and ample compute. - Extensive operational support so you can focus on research and ship quickly. - Work with experts across national security, policy, AI research and adjacent sciences. Growth & autonomy - If you’re talented and driven, you’ll own important problems early. - 5 days off and annual stipends for learning and development, and funding for conferences and external collaborations. - Freedom to pursue research bets without product pressure. - Opportunities to publish and collaborate externally. Life & family* - Modern central London office (cafes, food court, gym), or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol. - Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. - At least 25 days’ annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering. - Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time). - On top of your salary, we contribute 28.97% of your base salary to your pension. - Discounts and benefits for cycling to work, donations and retail/gyms. *These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments. Salary Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. The full range of salaries are available below: - Level 3: £65,000–£75,000 (Base £39,850 + Technical Allowance £25,150–£35,150) - Level 4: £85,000–£95,000 (Base £47,355 + Technical Allowance £37,645–£47,645) - Level 5: £105,000–£115,000 (Base £61,620 + Technical Allowance £43,380–£53,380) - Level 6: £125,000–£135,000 (Base £74,605 + Technical Allowance £50,395–£60,395) - Level 7: £145,000 (Base £74,605 + Technical Allowance £70,395) Additional Information Use of AI in Applications Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use. Internal Fraud Database The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register. Security Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance . Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here. Nationality requirements We may be able to offer roles to applicant from any nationality or background . As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window). Working for the Civil Service The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy. Diversity and Inclusion The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window) . As part of the application process, we monitor statistics on D&I. You can see how we process this data here: Recruitment privacy notice - GOV.UK .

About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. Role Description The AI Security Institute's Research Unit is looking for motivated and talented Software Engineers to join AISI's Core Technology Team. We are looking for exceptional candidates at all experience levels, from junior through to senior or staff, to work in small teams on a range of critical research-oriented software and infrastructure. In this role, you’ll work with cutting-edge technologies on research problems with real-world impact, and receive mentorship and coaching from your manager and the technical leads on your team. You'll also regularly interact with world-famous researchers and other incredible staff (including alumni from Anthropic, DeepMind, OpenAI, Google, Apple, and professors from Oxford and Cambridge). About our Core Technology Team AISI Core Technology Team comprises several teams building tools and infrastructure used across all of our research work. This includes projects like Inspect (our open-source evaluation framework), systems for running evaluations at scale, and hosting frontier open-weights models for evaluations or human studies. As a software engineer on one of these teams, you might: - Add a feature to one of our “sandbox plugins” for Inspect, supporting advanced agentic evals with safe mechanisms to let models write and execute arbitrary code - Implement support for a new class of open-weights model on our model hosting platform - Support a research team with designing custom infrastructure for a new research project - Collaborate with the open-source community on a feature in Inspect or Inspect's plugin ecosystem - Assist with an evaluation testing exercise of a frontier AI model, debugging issues that appear in Inspect from API changes in the lab's latest SDK Person Specification You may be a good fit if you have some of the following skills, experience and attitudes: - Writing production quality code at fast pace. - Designing, shipping, and maintaining complex tech products. - Improving technical standards across a team, through mentoring and feedback. - Strong written and verbal communication skills. - Experience working with a world-class research team comprised of both scientists and engineers (e.g. in a top-3 lab). - Python experience, including understanding the intricacies of the language, the good vs. bad Pythonic ways of doing things and much of the wider ecosystem/tooling. - Experience building and maintaining systems on AWS or other cloud providers using infrastructure-as-code. Motivated candidates are encouraged to apply even if you don't meet all the above criteria. Required Experience We select based on skills and experience regarding the following areas: - Writing production quality code - Writing code efficiently - Python - Written communication - Verbal communication - Teamwork - Interpersonal skills - Tackling challenging problems Desired Experience We additionally may factor in experience with particular areas like: - Expertise in Cloud Infrastructure or Dev Ops (AWS, Azure, Kubernetes, Terraform, CDK, Docker, etc.) - Cybersecurity expertise - ML Ops (vLLM, agent frameworks, fine-tuning, RAG systems, etc.) What We Offer Impact you couldn't have anywhere else - Incredibly talented, mission-driven and supportive colleagues. - Direct influence on how frontier AI is governed and deployed globally. - Work with the Prime Minister’s AI Advisor and leading AI companies. - Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access - Pre-release access to multiple frontier models and ample compute. - Extensive operational support so you can focus on research and ship quickly. - Work with experts across national security, policy, AI research and adjacent sciences. Growth & autonomy - If you’re talented and driven, you’ll own important problems early. - 5 days off and annual stipends for learning and development, and funding for conferences and external collaborations. - Freedom to pursue research bets without product pressure. - Opportunities to publish and collaborate externally. Life & family* - Modern central London office (cafes, food court, gym), or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol. - Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. - At least 25 days’ annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering. - Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time). - On top of your salary, we contribute 28.97% of your base salary to your pension. - Discounts and benefits for cycling to work, donations and retail/gyms. *These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments. Salary Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. The full range of salaries are available below: - Level 3: £65,000–£75,000 (Base £39,850 + Technical Allowance £25,150–£35,150) - Level 4: £85,000–£95,000 (Base £47,355 + Technical Allowance £37,645–£47,645) - Level 5: £105,000–£115,000 (Base £61,620 + Technical Allowance £43,380–£53,380) - Level 6: £125,000–£135,000 (Base £74,605 + Technical Allowance £50,395–£60,395) - Level 7: £145,000 (Base £74,605 + Technical Allowance £70,395) Additional Information Use of AI in Applications Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use. Internal Fraud Database The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register. Security Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance . Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here. Nationality requirements We may be able to offer roles to applicant from any nationality or background . As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window). Working for the Civil Service The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy. Diversity and Inclusion The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window) . As part of the application process, we monitor statistics on D&I. You can see how we process this data here: Recruitment privacy notice - GOV.UK .

About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. About the Team AISI's Chem Bio (CB) team conducts technical research to assess evolving AI capabilities related to science R&D and CB misuse, and the effectiveness of technical safeguards that might mitigate risks arising from those capabilities. The goal of our research is to inform critical decisions on security, opportunities, policy, and risk mitigation made by governments and AI developers. We're a close-knit, unusually interdisciplinary team—made up of machine learning researchers and engineers, software engineers, virologists and bacteriologists, behavioural research scientists, biosecurity experts, long-standing CB policy specialists and talented generalists—who work closely with other technical and policy teams across government. Role Responsibilities We are building a dedicated engineering function within the CB team — a small team that owns the shared platform, tooling, and infrastructure that our research projects depend on. This role leads that function. The successful candidate will: - Lead CB's engineering team — set technical direction, define engineering standards, and own the roadmap for shared infrastructure, tools, and components used across CB's research projects. - Line-manage a small number of engineers — provide regular support, feedback, and development guidance to direct reports (expect 1–3 reports as the team grows). - Design and build reliable systems — architect and deliver the core platform that enables researchers to run experiments and ship results quickly, including LLM-based agent systems, evaluation frameworks, and supporting infrastructure. - Work closely with researchers — translate varied research needs across general agents, science agents, chemical and biological models and other CB workstreams into well-engineered, maintainable systems. - Hire and grow the team — run hiring pipelines for future engineering roles, contribute to interview design and candidate assessment, and help shape what great engineering talent looks like at AISI. - Shape engineering culture— establish ways of working, code quality standards, and development practices for a growing engineering team embedded in a research-heavy environment. - Represent CB engineering across AISI — coordinate with Core Technology and other engineering teams to share tooling, align on infrastructure, and avoid duplication. Role Requirements We are looking for the following skills, experience and attitudes, but a successful candidate will not necessarily need to meet all these criteria. We can be flexible in shaping the role and salary to your background, expertise, and level of experience. - Significant experience writing production-level Python code that is scalable, robust, and easy to maintain, with a track record of leading technical work in a team. - Strong infrastructure and platform skills — experience with cloud environments (AWS), container orchestration (Kubernetes), and job scheduling (Slurm or similar). - Demonstrated experience leading or managing engineers — whether through formal line management, tech-leading a team, or running hiring pipelines. You don't need to have done all three, but you should be comfortable with at least one and keen to grow into the others. - Familiarity with the AI/ML ecosystem: OpenAI-compatible APIs, PyTorch, and the tooling around LLM-based systems. - Ability to work across multiple teams, understanding varied research needs and delivering reliable engineering solutions. - A sense of mission, urgency, and responsibility for success: Demonstrated ability to solve challenging problems, implement solutions efficiently and acquire any missing knowledge necessary to get the job done. Motivated to build software with direct policy impact. - Strong communication skills, with the ability to work effectively in a dynamic, multidisciplinary team environment. Strong candidates may also have: - Experience working in a research environment — you don't need to be a researcher, but you should be comfortable working alongside them and translating ambiguous research requirements into engineering plans. - Familiarity with computational biology tools, workflows, or datasets. - Experience building or maintaining internal developer platforms, shared libraries, or CI/CD systems for technical teams. Please note that this is a reserved post. We can only consider applications from UK nationals (including dual nationals who hold British citizenship). Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not required—we will sponsor and support you. You should normally have been resident in the UK for the past 5 years. You may also be required to undergo Developed Vetting (DV). DV typically requires a longer period of UK residency (around 10 years). Employment is conditional on obtaining and maintaining the required clearance(s). More detail on clearance eligibility can be found on the UK Government website: National security vetting: clearance levels - GOV.UK Other core requirements - You should be able to spend at least 9 days per fortnight working with us. - You should be willing to work from our office in London (Whitehall) at least 3 days/week. - You should be UK-based. What We Offer Impact you couldn't have anywhere else - Incredibly talented, mission-driven and supportive colleagues. - Direct influence on how frontier AI is governed and deployed globally. - Work with the Prime Minister’s AI Advisor and leading AI companies. - Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access - Pre-release access to multiple frontier models and ample compute. - Extensive operational support so you can focus on research and ship quickly. - Work with experts across national security, policy, AI research and adjacent sciences. Growth & autonomy - If you’re talented and driven, you’ll own important problems early. - 5 days off and annual stipends for learning and development, and funding for conferences and external collaborations. - Freedom to pursue research bets without product pressure. - Opportunities to publish and collaborate externally. Life & family* - Modern central London office (cafes, food court, gym), or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol. - Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. - At least 25 days’ annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering. - Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time). - On top of your salary, we contribute 28.97% of your base salary to your pension. - Discounts and benefits for cycling to work, donations and retail/gyms. *These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments. Salary Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. The full range of salaries are available below: - Level 3: £65,000–£75,000 (Base £39,850 + Technical Allowance £25,150–£35,150) - Level 4: £85,000–£95,000 (Base £47,355 + Technical Allowance £37,645–£47,645) - Level 5: £105,000–£115,000 (Base £61,620 + Technical Allowance £43,380–£53,380) - Level 6: £125,000–£135,000 (Base £74,605 + Technical Allowance £50,395–£60,395) - Level 7: £145,000 (Base £74,605 + Technical Allowance £70,395) Additional Information Use of AI in Applications Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use. Internal Fraud Database The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register. Security Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance . Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here. Nationality requirements We may be able to offer roles to applicant from any nationality or background . As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window). Working for the Civil Service The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy. Diversity and Inclusion The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window) . As part of the application process, we monitor statistics on D&I. You can see how we process this data here: Recruitment privacy notice - GOV.UK .

About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. The deadline for applying to this role is Sunday 19th July 2026, end of day, anywhere on Earth. About the Team: Security Engineering at the AI Security Institute (AISI) exists to help our researchers move fast, safely. We treat security as a measurable, researcher-centric product. We build s ecure-by-design platforms, automated governance, and intelligence-led detection that protects our people, partners, models, and data. We work shoulder to shoulder with research units and core technology teams, and we optimise for enablement over gatekeeping, proportionate controls, low ego, and high ownership. What you might work on: - Help design and ship paved roads and secure defaults across our platform so researchers can build quickly and safely - Build tooling and reusable infrastructure-as-code modules that make the secure path the easy path - Build provenance and integrity into the software supply chain (signing, attestation, artefact verification, reproducibility) - Support strengthened identity, segmentation, secrets, and key management to create a defensible foundation for evaluations at scale - Develop automated, evidence-driven assurance mapped to relevant standards, reducing audit toil and improving signal - Create detections and response playbooks tailored to model evaluations and research workflows, and run exercises to validate them - Threat model new evaluation pipelines with research and core technology teams, fixing classes of issues at the platform layer - Assess third-party services and hardware/software supply chains, and introduce lightweight controls that raise the bar - Contribute to open standards and open source, and share lessons with the broader community where appropriate If you want to build security that accelerates frontier-scale AI safety research, and see your work land in production quickly, this is a good place to do it. Role Summary: We're looking for a strong software engineer who's drawn to security. Someone who would rather ship a paved road than write a policy, and who's excited by the prospect of building the security foundations for frontier-scale AI safety research. You don't need to be a career security specialist. You do need to be a genuinely good engineer who thinks adversarially, cares about getting the defaults right, and wants to go deep on security over the coming years. Working as a hands-on engineer on AISI's Security Engineering team, building the secure-by-default patterns, reusable controls, and guardrails that the rest of the organisation builds on top of. You'll spend at least your first year focused on platform and product security, embedding safe practices across the development lifecycle, hardening our cloud and CI/CD foundations, and partnering with engineers to fix classes of issues rather than one-off bugs. You'll build influence through enablement, not enforcement. Over time, you'll extend these patterns. We expect your security depth to grow on the job; we'll back that with mentorship, learning budget, and real ownership early. Responsibilities: - Write production-quality code and reusable infrastructure-as-code (Terraform, CDK, etc.) that delivers secure-by-default modules, bootstrap templates, and reference architectures - Build tooling for identity, secrets, environment isolation, and pipeline hardening - Develop and help maintain a baseline cloud control set (e.g. SCPs, logging, tagging) and improve cloud posture with automated feedback loops - Provide consulting and coaching to platform and product teams to support secure delivery - Threat model new and existing systems with research and core technology teams, and fix issues at the platform layer - Build provenance and integrity into the software supply chain (signing, attestation, artefact verification) - Help create detections and response playbooks, support post-incident reviews, and design for resilience - Align technical controls with governance and shared responsibility boundaries Profile requirements: You may be a good fit if you have some of the following skills, experience, and attitudes: - Writing production-quality code at a fast pace, and designing, shipping, and maintaining complex tech products - A genuine pull towards security, you think adversarially, enjoy understanding how systems break, and want to make the secure path the default path - Strong Python and/or another production language, including the good vs. bad ways of doing things and a feel for the wider ecosystem and tooling - Experience building and maintaining systems on AWS or other cloud providers using infrastructure-as-code (Terraform, CDK, etc.) - Solid understanding of CI/CD pipelines and the software development lifecycle - You take the trajectory of frontier AI seriously, and you're motivated by the mission of making it safe - Strong written and verbal communication, and the ability to build influence in cross-functional environments - Improving technical standards across a team through mentoring and feedback Motivated candidates are encouraged to apply even if you don't meet all the above criteria. We care more about engineering ability, security instinct, and trajectory than a long security CV. Desired experience: We additionally may factor in experience with areas like: - Cloud security, identity, networking, and org-level services - Cybersecurity expertise (threat modelling, detection and response, supply-chain security, secrets management) - Software supply-chain security and provenance - ML Ops and AI/ML platform surfaces - Practical understanding of AI/ML risks Key Competencies: - Strong software engineering and the ability to design reusable IaC components - Security instinct: threat modelling, secure defaults, and paved paths - Collaboration across platform and research teams - Cloud fundamentals (AWS), with appetite to go deep on cloud security - Growing capability in securing AI/ML workloads and artefacts - Clear communication and influence without authority Security Clearance: Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not required—we will sponsor and support you. You should normally have been resident in the UK for the past 5 years. More detail on clearance eligibility can be found on the UK Government website: National security vetting: clearance levels - GOV.UK. What We Offer Impact you couldn't have anywhere else - Incredibly talented, mission-driven and supportive colleagues. - Direct influence on how frontier AI is governed and deployed globally. - Work with the Prime Minister’s AI Advisor and leading AI companies. - Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access - Pre-release access to multiple frontier models and ample compute. - Extensive operational support so you can focus on research and ship quickly. - Work with experts across national security, policy, AI research and adjacent sciences. Growth & autonomy - If you’re talented and driven, you’ll own important problems early. - 5 days off and annual stipends for learning and development, and funding for conferences and external collaborations. - Freedom to pursue research bets without product pressure. - Opportunities to publish and collaborate externally. Life & family* - Modern central London office (cafes, food court, gym), or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol. - Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. - At least 25 days’ annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering. - Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time). - On top of your salary, we contribute 28.97% of your base salary to your pension. - Discounts and benefits for cycling to work, donations and retail/gyms. *These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments. Salary Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. The full range of salaries are available below: - Level 3: £65,000–£75,000 (Base £39,850 + Technical Allowance £25,150–£35,150) - Level 4: £85,000–£95,000 (Base £47,355 + Technical Allowance £37,645–£47,645) - Level 5: £105,000–£115,000 (Base £61,620 + Technical Allowance £43,380–£53,380) - Level 6: £125,000–£135,000 (Base £74,605 + Technical Allowance £50,395–£60,395) - Level 7: £145,000 (Base £74,605 + Technical Allowance £70,395) Additional Information Use of AI in Applications Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use. Internal Fraud Database The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register. Security Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance . Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here. Nationality requirements We may be able to offer roles to applicant from any nationality or background . As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window). Working for the Civil Service The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy. Diversity and Inclusion The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window) . As part of the application process, we monitor statistics on D&I. You can see how we process this data here: Recruitment privacy notice - GOV.UK .

About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. Expression of Interest - Red Team AISI's Red Team is open to expressions of interest from talented research engineers and scientists of all levels of seniority who want to work at the forefront of frontier AI safety and security but do not see a role listed that matches their skills and experience. Our talent team will reach out should a role arise that may be a good match. Team Description The Red Team conducts cutting edge research to identify, evaluate and stress test vulnerabilities in frontier AI systems, sharing our findings directly with leading AI companies, UK officials and allied governments to inform deployment, research and policy decisions. The Red Team is composed of three specialised sub teams, each tackling a distinct set of challenges. While each sub team has its own focus, we work closely together, sharing methodologies, tooling, research insights and findings across the wider Red Team. Many of our most impactful projects draw on expertise from across all three sub teams, and we actively encourage collaboration in working to tackle the most pressing challenges in frontier AI safety and security. Alignment The Alignment sub-team focuses on detecting, evaluating and understanding misalignment in frontier AI systems. Our work centres on loss of control risks, including deceptive alignment, research sabotage and self-exfiltration attempts. We carry out novel research to develop techniques for finding misalignment, investigate how to attribute misaligned behaviour to more fundamental concerns such as instrumental convergence, and conduct pre and post deployment evaluations. We share our findings with frontier AI companies and with the UK and allied governments to inform deployment, research and policy making, and we work directly with safety teams at frontier labs to help improve their alignment training and monitoring methodologies. Misuse The Misuse sub-team focuses on stress testing frontier AI safeguards for dangerous capabilities, researching novel attack vectors and developing advanced automated attack tooling. Our work probes the robustness of safeguards against real world threats, helping to identify where frontier systems may be vulnerable to exploitation and where defences need to be strengthened. We share our findings with frontier AI companies, including Anthropic, OpenAI and DeepMind, as well as with key UK officials and other governments, to inform their deployment, research and policy decisions and to support the development of more resilient safeguards across the frontier AI ecosystem. Control The Control sub-team partners with leading frontier AI companies to stress test control measures designed to prevent AI systems from causing harm. Drawing on techniques from adversarial machine learning, we develop algorithms to uncover a wide range of failures in control measures and use these findings to assess and strengthen them. These partnerships allow us to directly influence vital control measures, while our position within government enables us to bring our understanding of the current state of control measures to wider government as critical deployment, research, and policy decisions are made. Salary £65,000 - £145,000 GBP What We Offer Impact you couldn't have anywhere else - Incredibly talented, mission-driven and supportive colleagues. - Direct influence on how frontier AI is governed and deployed globally. - Work with the Prime Minister’s AI Advisor and leading AI companies. - Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access - Pre-release access to multiple frontier models and ample compute. - Extensive operational support so you can focus on research and ship quickly. - Work with experts across national security, policy, AI research and adjacent sciences. Growth & autonomy - If you’re talented and driven, you’ll own important problems early. - 5 days off and annual stipends for learning and development, and funding for conferences and external collaborations. - Freedom to pursue research bets without product pressure. - Opportunities to publish and collaborate externally. Life & family* - Modern central London office (cafes, food court, gym), or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol. - Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. - At least 25 days’ annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering. - Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time). - On top of your salary, we contribute 28.97% of your base salary to your pension. - Discounts and benefits for cycling to work, donations and retail/gyms. *These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments. Salary Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. The full range of salaries are available below: - Level 3: £65,000–£75,000 (Base £39,850 + Technical Allowance £25,150–£35,150) - Level 4: £85,000–£95,000 (Base £47,355 + Technical Allowance £37,645–£47,645) - Level 5: £105,000–£115,000 (Base £61,620 + Technical Allowance £43,380–£53,380) - Level 6: £125,000–£135,000 (Base £74,605 + Technical Allowance £50,395–£60,395) - Level 7: £145,000 (Base £74,605 + Technical Allowance £70,395) Additional Information Use of AI in Applications Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use. Internal Fraud Database The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register. Security Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance . Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here. Nationality requirements We may be able to offer roles to applicant from any nationality or background . As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window). Working for the Civil Service The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy. Diversity and Inclusion The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window) . As part of the application process, we monitor statistics on D&I. You can see how we process this data here: Recruitment privacy notice - GOV.UK .

About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. Expression of Interest – Chem Bio AISI’s Chem Bio team is open to expressions of interest from talented research engineers and scientists of all levels of seniority who want to work at the forefront of frontier AI safety and security, but do not see a role listed that matches their skills and experience. Our talent team will reach out should a role arise that may be a good match. Team Description The Chem Bio team conducts cutting-edge research to understand, evaluate and mitigate chemical and biological risks associated with frontier AI systems. We assess the extent to which advanced models may enable harmful capabilities, develop methods for evaluating these risks rigorously, and share our findings directly with leading AI companies, UK officials and allied governments to inform deployment, research and policy decisions. Our work spans a range of technical and scientific challenges, including capability elicitation, model evaluations, benchmarking, threat modelling, and the development of safeguards and monitoring approaches. We combine expertise from machine learning, chemistry, biology, biosecurity and related disciplines to better understand how frontier AI systems may affect the chemical and biological risk landscape. We work closely with partners across government, academia and industry, and collaborate with other technical teams across AISI to ensure our work is scientifically rigorous, operationally relevant and decision-useful. Many of our most impactful projects draw on expertise from across multiple domains, and we actively encourage collaboration in tackling the most pressing challenges in frontier AI safety and security. What you might work on Depending on your background and the needs of the team, you could contribute to work such as: - Designing and running evaluations to assess chemical and biological capabilities in frontier AI systems - Developing benchmarks, datasets and experimental protocols for assessing high-consequence risks - Studying how model capabilities may generalise or transfer across scientific domains and task settings - Building tools and automated methods for capability elicitation, testing and monitoring - Investigating model safeguards and identifying where they may fail or require strengthening - Conducting threat modelling and risk analysis to understand realistic pathways to harm - Translating technical findings into actionable recommendations for frontier AI companies and government stakeholders - Working with external partners in science, security and policy to improve the broader ecosystem’s understanding of chem/bio-related AI risks Who we’re interested in We are interested in hearing from candidates with strong technical, scientific or research backgrounds relevant to the Chem Bio team’s mission. This may include people with experience in: - Machine learning, especially evaluation, robustness, interpretability or capability assessment - Computational biology, bioinformatics, molecular biology, synthetic biology or related life sciences - Chemistry, computational chemistry, cheminformatics or related disciplines - Biosecurity, chemical security, threat assessment or dual-use risk analysis - Research engineering, scientific software, automation or infrastructure for technical research - Experimental design, benchmarking and empirical evaluation - Interdisciplinary work at the intersection of AI and the natural sciences We welcome expressions of interest from people at a range of seniority levels, including individual contributors, technical leads and research managers. Salary £65,000 - £145,000 GBP What We Offer Impact you couldn't have anywhere else - Incredibly talented, mission-driven and supportive colleagues. - Direct influence on how frontier AI is governed and deployed globally. - Work with the Prime Minister’s AI Advisor and leading AI companies. - Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access - Pre-release access to multiple frontier models and ample compute. - Extensive operational support so you can focus on research and ship quickly. - Work with experts across national security, policy, AI research and adjacent sciences. Growth & autonomy - If you’re talented and driven, you’ll own important problems early. - 5 days off and annual stipends for learning and development, and funding for conferences and external collaborations. - Freedom to pursue research bets without product pressure. - Opportunities to publish and collaborate externally. Life & family* - Modern central London office (cafes, food court, gym), or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol. - Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. - At least 25 days’ annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering. - Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time). - On top of your salary, we contribute 28.97% of your base salary to your pension. - Discounts and benefits for cycling to work, donations and retail/gyms. *These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments. Salary Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. The full range of salaries are available below: - Level 3: £65,000–£75,000 (Base £39,850 + Technical Allowance £25,150–£35,150) - Level 4: £85,000–£95,000 (Base £47,355 + Technical Allowance £37,645–£47,645) - Level 5: £105,000–£115,000 (Base £61,620 + Technical Allowance £43,380–£53,380) - Level 6: £125,000–£135,000 (Base £74,605 + Technical Allowance £50,395–£60,395) - Level 7: £145,000 (Base £74,605 + Technical Allowance £70,395) Additional Information Use of AI in Applications Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use. Internal Fraud Database The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register. Security Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance . Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here. Nationality requirements We may be able to offer roles to applicant from any nationality or background . As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window). Working for the Civil Service The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy. Diversity and Inclusion The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window) . As part of the application process, we monitor statistics on D&I. You can see how we process this data here: Recruitment privacy notice - GOV.UK .

S

Delivery Lead (Intelligence Community), Public Sec...

$166,400 – $242,000

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring a delivery lead to spearhead contract execution for a critical national security customer. As leader within our Public Sector Delivery team, you will own the account plan, manage day-to-day execution for a flagship customer, and ensure an incredible customer experience. You are the ultimate all-rounder, a hybrid customer success, people influencer, and technical program manager. This role is ideal for someone who blends program leadership, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: - Manage customer relationships from the executive to the end user - Work alongside national security & intelligence community customers to scope agentic workflow use cases that Scale’s engineering team will build and refine - Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives - Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success - Oversee onboarding and successful implementation of customer accounts Must haves: - An active TS/SCI clearance with full-scope polygraph (FSP) - 10+ years of work experience succeeding in stakeholder management or customer-facing role - Familiarity with the U.S. intelligence community and national security apparatus as a user base - A basic understanding of the ML operations process including processes underpinning GenAI data labeling, training, and test & evaluation - A track record of structured, analytics-driven problem solving - Excellent verbal and written communication skills - High cross-functional influence and EQ - Willingness to be onsite with a customer in vicinity of Columbia, MD 3+ days per week and able to travel at least 25% of the time (as needed) We have a diverse team with a variety of skill sets, many have: - Professional experience, often in a customer-facing technical program management role in industry or government. - Prior experience managing technical customers - A technical degree in computer science, engineering, or related field - Prior experience owning the technical implementation of solutions to the government - Proficiency in Python, SQL or other programming languages Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Maryland is: $166,400 - $242,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

L

IT Engineer

Negotiable

ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We are seeking our second IT Engineer to join our growing team in New York. Our team laid the foundation for IT at LangChain, and this role is critical to helping us mature and scale that foundation as the company grows. You'll bring deep technical expertise to our fleet management and SaaS administration, with room to shape how we manage our fleet, identity, SaaS stack, and the automation that runs the business. The ideal candidate brings startup experience, thrives in ambiguity, loves a good problem, and is excited to build scalable systems that support our global team. WHAT YOU'LL DO Infrastructure & Automation - Build and maintain our IT infrastructure and tech stack that scales with LangChain’s rapid growth - Drive automation initiatives to reduce toil and improve efficiency using scripts, APIs, and workflow tools - Implement monitoring and documentation practices that enable operational excellence Client Platform Engineering - Reimagine how we deploy, configure, and manage our Mac fleet. MDM (Iru) is the foundation, not the entire solution however. - Design and build a secure, reliable, and maintainable desktop environment that replaces our current patchwork of one-off scripts with version-controlled, testable, and repeatable systems - Own our approach to custom security controls and application deployment across the fleet, so updates and configuration changes are consistent and easy to roll out at scale - Build the fleet management systems now so they hold up as headcount, and the fleet, keep growing Security & Identity Management - Drive our identity strategy, implementing secure, scalable access controls following the principle of least privilege - Identify and implement security enhancements across our SaaS stack - Partner with our Security team to drive improvement of our enterprise security posture SaaS Administration - Administer and optimize our growing SaaS stack, managing provisioning, access controls, and lifecycle management - Become IT's central administrator for LangSmith, our own product, developing deep fluency in its administration surface - Build automated workflows for LangSmith administration using its API paired with our automation tooling, reducing manual, toil-heavy admin work - Help IT stay fluent across the internal tools we run and support, including the LLM Gateway. Another LangChain product. Core IT Operations - Provide support to employees globally across hardware, software, networking, and IT tools - Deliver great onboarding experiences for new hires, ensuring they have the right hardware, access, and setup so they can be productive from day one WHAT YOU'LL BRING - 4+ years of experience in IT engineering and systems administration - Deep proficiency with Okta and Okta Workflows - Fluency in at least one general-purpose programming language (Python, JavaScript, or similar) with demonstrated ability to write production-quality scripts and automation - Versed in the us of REST APIs, webhooks, and API authentication methods; you should be comfortable reading API documentation and building integrations between systems - Demonstrated ability to build meaningful automations that reduce manual work and improve IT operations - Hands-on experience with IaC using Terraform to manage and provision IT infrastructure and applications, and comfort applying changes within an existing Terraform codebase - Experience using coding agents (e.g. Claude Code) as part of your day-to-day engineering workflow to build and ship automation faster - Strong experience with a modern tech stack that includes Google Workspace, Slack, Notion, Claude, ChatGPT - Solid understanding of MDM platforms, and ideally experience going beyond baseline MDM with fleet/configuration management tooling to manage a fleet's security and application needs - Experience administering a large or complex SaaS stack, ideally including internal or AI/LLM-based products - Strong networking fundamentals (TCP/IP, DNS, VPNs, firewalls, switching, wireless, LAN/WAN) - Annual salary range: $120,000-$150,00 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

E

Non-Eng Template

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. We're looking for an experienced, driven Enterprise Account Executive to drive ElevenLabs' growth across Italy's enterprises. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Italian organizations - and is passionate about the transformative possibilities of AI voice technology. In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents - our end-to-end platform for building and deploying AI voice agents - to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: - Build and manage a growing portfolio of enterprise accounts across Italy - Identify new business opportunities where ElevenLabs' conversational AI capabilities - including ElevenAgents - can drive customer engagement, contact center automation, and operational efficiency. - Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers. - Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends - particularly as they apply to regulated Italian industries - Demonstrate expertise - or a strong willingness to learn - about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, IVR modernization, and in-app assistants - Develop and execute account strategies to expand ElevenLabs' presence within key enterprise verticals, navigating complex procurement and organizational structures. - Partner closely with Customer Success, FDEs and Solutions Engineering to ensure smooth onboarding, deployment, and expansion of accounts. - Serve as a trusted advisor to clients, educating C-suite and senior operations leaders on emerging trends in generative AI, voice interfaces, and conversational agents. Requirements: - 7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms. - Proven success closing deals and managing long, complex sales cycles with multiple stakeholders across business, IT, legal, and procurement. - Well-connected in the Italian enterprise landscape, with an existing network of senior individuals and strong executive presence and ability to build relationships at the C‑suite and board level. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Deep understanding of enterprise procurement and legal processes in Spain/Italy, with the ability to accelerate deal velocity within complex organizational structures - Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Native or full professional proficiency in Italian; strong English for internal collaboration. Spanish is a bonus. Location: This role is remote across the Italy but Milan is preferred.

E

Enterprise Account Executive - France & Benelux

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for an experienced, motivated Enterprise Account Executive to drive ElevenLabs' growth with CAC40 and large-scale enterprises across France and Benelux. Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: - Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals - Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency - Develop and maintain a deep understanding of the AI Agents landscape, including customer use cases, competitive solutions, and emerging trends - Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more - Develop and execute account strategies to expand ElevenLabs’ presence within key enterprise verticals (e.g., healthcare, government, finance). - Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts. - Serve as a trusted advisor to clients, educating them on emerging trends in generative AI, voice interfaces, and conversational agents. Requirements - 7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms. - Deep understanding of the French ecosystem - Proven success closing seven‑figure deals and managing complex sales cycles with multiple stakeholders. - Deep understanding of enterprise procurement and legal processes, with ability to accelerate deal velocity in France. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Strong executive presence and ability to build relationships at the C‑suite and board level. - Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale Location This role is remote-first, so it can be executed from anywhere in the EMEA region, however the ability to operate in CET and GMT timezones is required. There is a preference for candidates to be based in Paris, with the option to work out of our office. #LI-remote

E

Account Executive- Spain - Enterprise

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. We're looking for an experienced, driven Enterprise Account Executive to drive ElevenLabs' growth across Spain/Italy's enterprises. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Spanish organizations - and is passionate about the transformative possibilities of AI voice technology. In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents - our end-to-end platform for building and deploying AI voice agents - to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: - Build and manage a growing portfolio of enterprise accounts across Spain - Identify new business opportunities where ElevenLabs' conversational AI capabilities - including ElevenAgents - can drive customer engagement, contact center automation, and operational efficiency. - Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers. - Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends - particularly as they apply to regulated Spanish industries - Demonstrate expertise - or a strong willingness to learn - about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, IVR modernization, and in-app assistants - Develop and execute account strategies to expand ElevenLabs' presence within key enterprise verticals, navigating complex procurement and organizational structures. - Partner closely with Customer Success, FDEs and Solutions Engineering to ensure smooth onboarding, deployment, and expansion of accounts. - Serve as a trusted advisor to clients, educating C-suite and senior operations leaders on emerging trends in generative AI, voice interfaces, and conversational agents. Requirements - 7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms. - Proven success closing deals and managing long, complex sales cycles with multiple stakeholders across business, IT, legal, and procurement. - Well-connected in the Spanish enterprise landscape, with an existing network of senior individuals and strong executive presence and ability to build relationships at the C‑suite and board level. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Deep understanding of enterprise procurement and legal processes in Spain, with the ability to accelerate deal velocity within complex organizational structures - Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Native or full professional proficiency in Spanish; strong English for internal collaboration Location This role is remote across the Spain but Madrid is preferred. #LI-remote

A

Safeguards Enforcement Analyst, Integrity & Authen...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Analyst focusing on Integrity & Authenticity, you will be responsible for building and executing enforcement workflows for our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for coordinated inauthentic behavior, election manipulation, and targeting, tracking, and surveillance of individuals. Your work will span a broad and interconnected set of harm areas: AI-enabled influence operations and disinformation campaigns, the abuse of AI to interfere with electoral processes, and the use of AI systems to facilitate stalking, surveillance, profiling, and the targeting of individuals or groups. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a political, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays, particularly around major electoral events. Key responsibilities - Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy - Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems - Review flagged content to drive enforcement and policy improvements - Enforce usage policies with a focus on detecting and mitigating AI-enabled influence operations, coordinated inauthentic behavior, election interference, and targeting, tracking, or surveillance of individuals and groups - Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios - Keep up to date with emerging AI policy enforcement best practices, evolving threat actor tactics, and the regulatory landscape around elections, privacy, and surveillance, using these to inform our decision-making and workflows Minimum qualifications - Experience in trust & safety, policy enforcement, threat intelligence, or a closely related field with a focus on one or more of: influence operations, disinformation, coordinated inauthentic behavior, election integrity, or privacy and surveillance harms - Experience standing up and scaling policy enforcement or content review workflows - Proficiency in SQL and/or other data analysis tools to draw insights from large datasets - Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams - Experience working with generative AI products, including writing effective prompts for content review and enforcement - Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications - Experience conducting cross-platform investigations into influence operations, coordinated inauthentic behavior, or disinformation campaigns - Familiarity with open-source intelligence (OSINT) techniques and tools used for threat actor tracking and network analysis - Working knowledge of privacy law, surveillance technology, or data broker ecosystems as they relate to targeting and tracking harms - Experience with large language models and an understanding of how AI technology could be misused to generate synthetic personas, fabricate quotes, or automate persuasion at scale - Familiarity with election security frameworks, campaign finance law, or electoral integrity standards in one or more jurisdictions - Experience navigating evolving regulatory landscapes relevant to this space (e.g., DSA, EU AI Act, FEC regulations, GDPR) - Experience working with election bodies, civil society organizations, or government agencies on integrity or disinformation-related issues - Proficiency in Python for data analysis and automation - Experience with dark web monitoring or tracking threat actors across surface, deep, and dark web environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

Safeguards Enforcement Analyst, Cyber Harm

$285,000 – $330,000

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enforcement Analyst, you will be responsible for reviewing content and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your initial focus will center on reviewing flagged activity related to cyberattacks, malware development, and offensive exploitation; however, this position may later expand to include broader areas of enforcement. Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities - Review flagged content and accounts to make accurate, well-documented enforcement decisions in line with our usage policies - Detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations - Triage and escalate novel, ambiguous, or high-severity cases to appropriate stakeholders - Provide detailed feedback to the Safeguards policy design team on policy gaps surfaced through real enforcement scenarios - Partner with Engineering and Data Science teams by surfacing detection model errors and quality signals from review to improve precision and recall - Maintain high accuracy and consistency standards across review queues - Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions Minimum Qualifications - Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research - Experience performing content review, abuse investigations, or policy enforcement at volume - Proficiency in SQL and/or Python for data analysis and threat detection - Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams - Experience working with generative AI products, including writing effective prompts for content review and enforcement Preferred qualifications - Experience in trust & safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company - Experience with large language models and an understanding of how AI technology could be misused for cyber operations - Experience operating within abuse monitoring programs or enforcement review systems - Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space - Experience working with government agencies, regulated environments, or information sharing communities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

Safeguards Enforcement Analyst, Age-Appropriate De...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst on the user well-being team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be on how Anthropic handles age. A core part of this work is making sure our consumer products reach the right audiences, including the detection signals, verification paths, and appeals workflows that keep underage users off surfaces not designed for them. Claude also reaches younger users through third-party developers building on our API, and you'll be the enforcement partner that sales and platform teams rely on when those customers need guidance on deploying age-appropriately. This position may expand into broader areas of user well-being enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams. Key responsibilities - Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy - Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems - Review flagged content to drive enforcement and policy improvements - Enforce usage policies with a focus on detecting and mitigating potential harmful use of AI systems - Work with Legal, Public Policy, and Privacy stakeholders to keep our age assurance approach proportionate, privacy-preserving, and responsive to an evolving regulatory landscape - Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios - Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows - Responsible for Anthropic's layered age assurance approach - self-declaration, behavioral signals, verification, and ban appeals - to keep our first-party consumer products safe - Adjacent user well-being enforcement where age is a key factor in how policy is applied such as sexual content and illicit substances Minimum qualifications - Experience in trust and safety, online child safety, age assurance, privacy, product policy, or a related field - Subject matter expertise in one or more of: age assurance or age verification systems, age-appropriate design, child online safety, privacy-preserving verification methods, or content classification for young people - Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners — especially where safety, privacy, and usability tradeoffs need to be navigated together - Experience navigating evolving regulatory landscapes and enforcement best practices with regards to age assurance (including frameworks like the UK AADC, COPPA, and the DSA), CSAM/CSEM, NCII, and digital well-being - A thoughtful perspective on the privacy/safety tradeoffs inherent in age verification — including when less invasive approaches are the right call - Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders - Comfort using data (SQL or similar tools) to measure what's working and inform decisions - Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams Preferred qualifications - Experience building or operating age-gating flows, age estimation signals, underage account detection, or appeals workflows - Experience advising or partnering with third-party platforms on deploying safely to younger users - Experience working with or evaluating third-party age verification providers - A deep interest in AI safety and responsible technology development - Experience writing effective prompts for generative AI systems in a content review or enforcement context The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 - $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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Field Engineer, Data Engine

Negotiable

Scale AI is seeking a highly skilled and motivated AI Data Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: - Be open to >50% onsite work in a secured space. - Collaborate with cross-functional teams to define and execute the vision for data pipelines and agents. - Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back. - Deploy and maintain Scale software at customer sites. - Develop customer requested features and work closely with them to ensure that they win customer love. - Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions. - Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. - This role will require at minimum an active Secret clearance and willingness to obtain a TS/SCI security clearance. Ideally you have: - Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles - Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles. - Prior experience developing with Python - Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus - Linux experience: Understanding of shell scripting, operating systems, etc - Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus. - Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $190,000 - $290,000 USD The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $170,000 - $260,000 USD The base salary range for this full-time position in the location of St. Louis is: $140,000 - $220,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

A

Data Operations Manager, Human Data

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution. About the Impact The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you. Responsibilities: - Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows - Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale - Design and implement operational systems that translate research requirements into high-quality data pipelines - Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems - Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards - Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations - Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities You may be a good fit if you: - Have 3+ years in operations, consulting, product management, or program management roles - Have exceptional project management skills with ability to handle multiple complex projects simultaneously - Have strong communication skills and can engage effectively with technical and non-technical stakeholders - Are familiar with how LLMs work or have strong interest in understanding AI training methodologies - Are highly organized and can navigate ambiguity effectively - Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar) - Thrive in fast-paced research environments with shifting priorities - Are passionate about AI safety and understand the critical importance of high-quality data Strong candidates may also have: - Experience with data collection, labeling, or annotation operations for AI/ML systems - Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows - Background working with research teams at AI companies or research-oriented organizations - Experience managing vendor relationships or external contractors - Consulting background with experience translating complex requirements into deliverables - Track record of implementing process improvements or quality control systems at scale The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

Red Team Engineer, Safeguards

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards team is seeking a Red Team Engineer to help ensure the safety of our deployed AI systems and products. In this role, you'll take an adversarial approach to uncover vulnerabilities across our product ecosystem before they can be exploited by malicious actors. Your work will span from technical infrastructure vulnerabilities on our products to emergent risks from advanced AI capabilities. While you'll bring best practices from traditional security approaches, the focus is on broader safety implications and novel abuse unique to advanced AI systems and associated products. You'll investigate the full spectrum of potential abuse — from coordinated account manipulation and payment fraud to novel exploitation of product features — and simulate sophisticated threat actors who chain multiple attack vectors to achieve their objectives. Key responsibilities - Conduct comprehensive adversarial testing across Anthropic's product surfaces, developing creative attack scenarios that combine multiple exploitation techniques - Research and implement novel testing approaches for emerging capabilities, including agent systems, tool use, and new interaction paradigms - Design and execute "full kill chain" attacks that emulate real-world threat actors attempting to achieve specific malicious objectives - Build and maintain systematic testing methodologies that evaluate every aspect of our systems - Develop automated testing frameworks to enable continuous assessment at scale - Collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements - Help establish metrics for measuring detection effectiveness of novel abuse Minimum qualifications - Experience in penetration testing, red teaming, or application security - Experience in model jailbreaking and testing large-scale agentic workflows for non-obvious prompt injection vectors - Strong technical skills in web application security, including hands-on expertise with security testing tools (e.g., Burp Suite, Metasploit, custom scripting frameworks) - Experience building custom automation, including LLM-specific testing frameworks - A track record of discovering novel attack vectors and chaining vulnerabilities in creative ways - A public body of work such as CVEs, blog posts, or disclosed bug bounty reports - Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences Preferred qualifications - Experience with AI/ML security or adversarial machine learning - Understanding of AI safety considerations beyond traditional security, including modern guardrails against jailbreaks - Experience testing API security and rate-limiting systems - Background in testing business logic vulnerabilities and authorization bypass techniques - Background in anti-fraud, trust & safety, or abuse prevention systems - Familiarity with distributed systems and infrastructure security - Familiarity with abuse detection mechanisms and the ability to engineer novel bypasses - Adaptability to understand and build engagements around emerging threats outside your direct area of expertise The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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Staff Software Engineer, Full Stack - Gen AI

$252,000 – $315,000

Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. This is a horizontal, high-impact L6 Staff Fullstack Engineer & Architect position reporting directly to the Director of Contributor Engineering. Instead of being tied to a single domain, your scope is spread across all Contributor (CB) teams (including Allocation, Growth, Trust & Safety, Pay, and Allocations). Together, these teams power Scale’s AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale. You will act as an organizational architect and tech lead, dynamically embedding yourself into the highest-priority projects across the org to guarantee execution, unblock teams, and successfully ship mission-critical initiatives. Concurrently, you will lead the long-term technical evolution of our stack, transforming the core architecture to ensure it is highly sustainable, scalable, and fundamentally AI-native. You will: - Deploy flexibly into critical, fast-moving product initiatives across the CB organization - Lead the architectural overhaul of our platform infrastructure, making it highly sustainable, robust, and optimized for deep integration with LLMs and foundation models. - Lead architecture decisions for scalability, reliability, and performance - Mentor and uplevel engineers across the team - Partner with product and leadership to shape roadmap and priorities - Own large, ambiguous problem spaces end-to-end - Work across backend, frontend, and ML systems Ideally you'd have: - 7+ years of full-time engineering experience, post-graduation, with a proven track record of operating as a Tech Lead, Architect, or Principal Engineer. - Track record of shipping high-quality products and features at scale - Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies - Proficient in Javascript/Typescript, and SQL - Experience with Kubernetes - Experience with major cloud providers (AWS, Azure, GCP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000 - $315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Sr. Software Development Engineer in Test, AI/ML

Negotiable

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Software Development Engineer in Test, AI/ML San Mateo, CA Do you have a passion for test automation? We are looking for self-motivated, quick-starter and highly proactive individuals to join our full stack team, who will be testing new and existing features on multiple platforms and devices in a software development environment and ensuring quality of automation and test frameworks. At PlayStation, we are passionate about both collaboration and technology. We love building the systems that millions of people use and are our own first customers. We are committed to being at the forefront of development technologies and are a diverse company with teams on four continents. Primary Responsibilities: - Lead end-to-end QE strategy for sophisticated features, systems, and platform integrations across PlayStation applications and services - Architect, design, and implement scalable automated test frameworks for UI, API, integration, and system-level testing - Define comprehensive test strategies, risk assessments, and quality metrics aligned with product and engineering goals - Develop and maintain robust automated test suites for web, backend, and platform services using modern automation tools and frameworks - Drive automation guidelines, coding standards, and continuous improvement initiatives across QE and development teams - Mentor junior and mid-level SDETs/QEs through code reviews, technical guidance, and testing strategy leadership - Collaborate closely with software engineers, product managers, DevOps, and release teams to improve overall software quality and delivery efficiency - Analyze test results, production issues, and system telemetry to identify root causes and implement long-term quality improvements - Build and optimize CI/CD automation pipelines to support continuous testing and rapid release cycles - Advocate for shift-left testing, testability improvements, and quality engineering culture across distributed teams Requirements: - BS or MS in Computer Science, Engineering, or related technical field, or equivalent - 6+ years of experience in Software Development Engineering in Test (SDET), Quality Engineering, or automation-focused software development - Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems - Strong programming expertise in Python, JavaScript/TypeScript, Java, C++, or similar object-oriented programming languages - Extensive experience designing scalable test automation frameworks and infrastructure from the ground up - Advanced experience with Selenium or Appium or UI Automation technologies - Deep understanding of APIs (RESTful), Libraries, SDK/Application Frameworks, Native Applications, microservices, and backend validation - Strong experience with modern frontend frameworks such as React - Experience implementing automated testing in CI/CD environments using Jenkins, GitHub Actions, CircleCI, or similar tools - Excellent technical communication, leadership, mentoring, analytical, and problem-solving skills - Ability to independently lead large-scale quality initiatives and influence engineering guidelines Bonus Qualifications: - Experience testing or developing applications for gaming consoles, embedded systems, streaming devices, or consumer electronics - Experience building internal developer tools, automation platforms, or test infrastructure services - Experience integrating automated testing into large-scale CI/CD and release management pipelines - Experience leading QE transformation initiatives or mentoring high-performing engineering teams At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $183,000 - $274,600 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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Software Development Engineer in Test, ML/AI

Negotiable

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Software Development Engineer In Test, ML/AI PlayStation offers more than just the Best Place to Play; it is also a top workplace. Today, we are a global entertainment leader. Our portfolio includes PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, and well-known software from PlayStation Studios. PlayStation works to foster an inclusive environment where employees feel supported and diversity is valued. We encourage individuals with passion and curiosity for innovation, technology, and play to apply for our open roles and become part of our growing distributed team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows . The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do - Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. - Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. - Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. - Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. - Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. - Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. - Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. - Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. - Improve automation reliability, reduce flakiness, and optimize execution efficiency. - Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. - Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications - Bachelor’s degree in Computer Science or equivalent practical experience. - 3+ years of experience as an SDET or QE engineer focused on backend and distributed systems. - Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. - Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. - Strong experience testing RESTful APIs, microservices, and distributed architectures. - Proficiency in Python, Java, JS or similar languages for automation development. - Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. - Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). - Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). - Familiarity with databases, monitoring, and observability tools. - Strong understanding of SDLC, Agile methodologies, and release processes. - Excellent problem-solving, debugging, and communication skills. Preferred qualifications - Experience validating ML outputs using statistical analysis or scenario-based testing approaches. - Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). - Prior work in content moderation ML, security, fraud detection, or adversarial ML. - Experience testing high-scale, low-latency online services. - Experience with Databricks or similar ML platform tooling. - Familiarity with Node.js, React, or modern frontend technologies. - Experience testing mobile, console, or other non-PC platforms. What sets you apart - Strong combination of automation engineering and delivery ownership. - Ability to drive quality across complex cross-functional initiatives. - Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. - Proven risk management and dependency coordination skills. - Ability to influence engineering teams and promote quality guidelines. - Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $140,500 - $210,700 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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Senior/Staff Data Scientist – Measurement and Expe...

Negotiable

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: As a Staff Data Scientist , you will lead innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. You will drive innovative research in experimentation methodologies while mentoring other team members. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions. What You’ll Be Doing: - Drive innovation in experimentation research by shaping measurement frameworks and best practices, and by developing new methodologies that enhance the quality, speed, and scalability of experiments. - Advance experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analytical capabilities. - Mentor and guide less-senior data scientists, building expertise in experimentation and causal inference while providing technical direction to ensure rigor and impact. - Partner with product managers and business leaders to identify high-impact experimentation opportunities and align them with PlayStation’s strategic goals. - Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams. - Contribute to research and prototyping of novel experimentation techniques that address complex real-world challenges, such as user behavior variability and data limitations. - Champion a data-driven culture by establishing experimentation standards, ethical practices, and reproducibility - Represent the team’s insights and innovations across the broader data science and product communities within PlayStation. - Stay at the forefront of the field by monitoring emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve capabilities. What We’re Looking For: - Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred. - Strong familiarity with the gaming industry and contemporary gaming experiences. - 8+ years of experience in data science, including extensive hands-on work in experimentation, with at least 2+ years in a mentoring or technical leadership capacity. - Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment. - Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling. - Expertise in causal inference techniques and designing both randomized and quasi-experiments. - Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions. - Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders. - Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy). - A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation. Benefits: - Discretionary bonus opportunity - Hybrid Working (within Flexmodes) - Private Medical Insurance - Dental Scheme - 25 days holiday per year - On Site Gym - Subsidised Café - Free soft drinks - On site bar - Access to cycle garage and showers Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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Senior Software Engineer, Machine Learning Platfor...

Negotiable

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer, Machine Learning Platform San Diego, CA Role Overview Sony Interactive Entertainment LLC seeks a Senior Software Engineer, Machine Learning Platform in San Diego, CA to architect and lead the design of next-generation ML inference infrastructure to support globally distributed, multi-tenant model serving with high availability, scalability, and cost efficiency. Requirements - Master’s degree in Computer Science or related field or equivalent and five (5) years of experience designing and deploying low-latency, high-throughput inference systems supporting computer vision and multimodal models including CNNs, segmentation and object detection; building large-scale distributed systems in Scala using reactive frameworks, multithreading, and Guice dependency injection; integrating enterprise feature stores to ensure consistent, low-latency feature delivery; developing ML inference services within Bazel-based monorepos ensuring hermetic builds and seamless integration with secure enterprise CI/CD pipelines (Prow); extending GitHub Prow workflows by writing Golang plugins/controllers to automate reviews, enforce policies, and coordinate multi-repo build/test/deploy pipelines; utilizing Pulumi to provision and manage scalable, reproducible, and cloud-agnostic inference environments; applying formal methods and computational theory to enhance scalability, reliability, and performance of distributed inference algorithms; optimizing ML algorithms in Scala, Java, and Go to improve memory efficiency, hardware utilization, and runtime speed; designing advanced observability frameworks with distributed tracing, model drift detection, and performance analytics; and standardizing ML platform practices while mentoring engineers and aligning architecture with MLOps, compliance (GDPR, SOC2), and scalability standards. - Telecommuting and/or working from home may be permissible pursuant to company policies. Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $187,363 – $265,900/year Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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Senior Software Development Engineer In Test, ML/A...

Negotiable

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do - Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. - Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. - Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. - Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. - Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. - Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. - Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. - Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. - Improve automation reliability, reduce flakiness, and optimize execution efficiency. - Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. - Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications - Bachelor’s degree in Computer Science or equivalent - 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. - Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. - Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. - Strong experience testing RESTful APIs, microservices, and distributed architectures. - Proficiency in Python, Java, JS or similar languages for automation development. - Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. - Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). - Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). - Familiarity with databases, monitoring, and observability tools. - Strong understanding of SDLC, Agile methodologies, and release processes. - Excellent problem-solving, debugging, and communication skills. Preferred qualifications - Experience validating ML outputs using statistical analysis or scenario-based testing approaches. - Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). - Prior work in content moderation ML, security, fraud detection, or adversarial ML. - Experience testing high-scale, low-latency online services. - Experience with Databricks or similar ML platform tooling. - Familiarity with Node.js, React, or modern frontend technologies. - Experience testing mobile, console, or other non-PC platforms. What sets you apart - Strong combination of automation engineering and delivery ownership. - Ability to drive quality across complex cross-functional initiatives. - Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. - Proven risk management and dependency coordination skills. - Ability to influence engineering teams and promote quality guidelines. - Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $183,000 - $274,600 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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Data Scientist – Incremental Player Value

Negotiable

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Department Overview: At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The CLV team focuses on understanding the drivers of long-term player value and enabling better business decisions through robust forecasting and insight generation. As a Causal Insights Specialist, you will help transform how PlayStation measures and optimises player value by identifying the true impact of products, features, and commercial interventions on long-term player outcomes. You will develop causal measurement frameworks and apply causal inference techniques to distinguish correlation from causation, enabling more effective investment decisions across the player lifecycle. This role is ideal for someone who is passionate about understanding why outcomes occur, enjoys solving complex business problems through rigorous analysis, and can translate causal insights into actionable recommendations for stakeholders. What you'll be doing: - Apply causal inference methodologies to measure the incremental impact of player experiences, lifecycle interventions, product features, and commercial initiatives on Customer Lifetime Value (CLV). - Design, analyse, and interpret experiments, quasi-experiments, and observational studies to answer strategic business questions. - Support the development of frameworks for measuring incremental CLV, uplift, and causal impact across acquisition, engagement, retention, and monetisation initiatives. - Work with cross-functional teams and business stakeholders to identify opportunities where causal measurement can improve decision-making and resource allocation. - Analyse large-scale behavioural and transactional datasets to uncover drivers of player value and quantify their causal impact. - Apply techniques such as propensity score matching, difference-in-differences, causal forests, and broader synthetic controls where appropriate. - Collaborate with data scientists, analysts, and engineers to operationalise causal insights and embed them into decision-making processes. - Translate complex analyses into clear and actionable recommendations for both technical and non-technical audiences. - Contribute to the evolution of PlayStation’s CLV framework by incorporating causal approaches to understanding long-term player value. What we're looking for: You’re intellectually curious, analytical, and passionate about understanding cause-and-effect relationships in complex systems. You bring strong quantitative skills and enjoy applying rigorous methods to high-impact business challenges. - Experience applying causal inference techniques in a commercial, product, marketing, or research environment. - Strong understanding of causal inference methods. - Exposure to experimental design and A/B testing. - Ability to independently frame business questions, select appropriate methodologies, and deliver actionable recommendations. - Proficiency in Python and SQL, with experience using statistical and causal inference libraries. - Strong foundation in statistics. - Experience working with large datasets and translating findings into business decisions. - Excellent communication and stakeholder management skills, with the ability to explain complex methodologies and findings to diverse audiences. - Ability to balance methodological rigour with practical business considerations. - Strong problem-solving skills and a structured approach to tackling data challenges. - A strong academic background, typically a Master’s or Ph.D. in a quantitative or technical field (e.g. Mathematics, Statistics, Economics, Econometrics, Computer Science, or a related quantitative field.) Nice to have: - Familiarity with modern causal machine learning techniques such as Double Machine Learning, Causal Forests, Meta-Learners, and Uplift Models. - Experience evaluating incrementality, or uplift using experimental data. - Knowledge of Bayesian methods for causal analysis and decision-making. - Experience in gaming, e-commerce, or subscription-based products. - Experience working with large-scale data using PySpark or equivalent distributed data processing tools. - Familiarity with production environments, MLOps, or data pipelines. Benefits: - Discretionary bonus opportunity - Private Medical Insurance - Dental Scheme - 25 days holiday per year - On Site Gym - Subsidised Café - Free soft drinks - On site bar - Access to cycle garage and showers Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

S

Data Scientist - Forecasting

Negotiable

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Department overview: At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The CLV team focuses on understanding player behaviour and driving more effective engagement across the player lifecycle — from acquisition and onboarding through to retention, monetisation, and long-term value. As a Data Scientist , you will develop models and insights that help drive more personalised player experiences and inform commercial and product decisions at scale. You will work in cross-functional teams to translate player behaviour into actionable strategies that drive measurable improvements in player engagement and value. This role is ideal for an individual who is comfortable owning problems end-to-end — from framing and modelling through to delivering impact — and partnering with stakeholders to support data-informed decision-making. What you’ll be doing: - Own the development and delivery of machine learning models for use cases such as churn prediction, purchase propensity, store recommendations, customer lifetime value. - Translate business problems into modelling approaches, selecting appropriate methods and features to deliver measurable impact. - Work with large-scale behavioural and transactional data to uncover patterns and opportunities for player growth and engagement. - Collaborate within cross-functional teams, including engineering, product, and commercial stakeholders, to ensure solutions are robust, scalable, and aligned with business needs. - Partner with stakeholders across commercial, finance, and lifecycle teams to support decision-making with data-driven insights. - Clearly communicate findings and recommendations to both technical and non-technical audiences. - Develop and expand your understanding of more advanced modelling approaches (e.g. deep learning and sequence-based methods) as part of solving increasingly complex problems. What we are looking for: You're curious, analytical, and a strong problem-solver, with a structured approach to tackling business problems. You bring strong foundations in modelling and data manipulation, and are motivated by applying these to impactful, commercial problems. - Experience building predictive models (e.g. churn, propensity, segmentation, or value modelling) in a commercial setting. - Ability to independently take a problem from definition through to solution and delivery, demonstrating initiative and ownership. - Proficiency in Python and SQL, and familiarity with common data science and ML libraries. - Solid understanding of machine learning techniques (e.g. regression, tree-based models, clustering) and when to apply them, including how to refine and tune them for real-world problems. - Strong communication and collaboration skills, with the ability to clearly articulate insights and work effectively with cross-functional stakeholders. - Awareness of modern machine learning approaches (e.g. embeddings, sequence models, deep learning) and interest in applying them to real-world problems. - Experience working with large datasets to generate actionable insights. - A strong academic background, typically a Master’s or Ph.D. in a quantitative or technical field (e.g. Mathematics, Statistics, Computer Science). Nice to Have: - Familiarity with production environments, MLOps, or data pipelines. - Experience working with large-scale data using PySpark or equivalent distributed data processing tools. - Experience in gaming, e-commerce, or subscription-based products. Benefits: - Discretionary bonus opportunity - Private Medical Insurance - Dental Scheme - 25 days holiday per year - On Site Gym - Subsidised Café - Free soft drinks - On site bar - Access to cycle garage and showers Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

S

Data Scientist, D2C Data Science

Negotiable

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Scientist, D2C Data Science San Diego, CA (Hybrd) About the Team The Direct to Consumer (D2C) Data Science organization brings together Data Science, Data Engineering, and ML Engineering to support PlayStation’s digital business across commerce, payments, subscriptions, lifecycle experiences, and player-facing services. We partner closely with product, engineering, finance, marketing, operations, and data teams to turn experimentation, forecasting, modeling, and production-quality measurement into better decisions and better player experiences. About The Role We are looking for a Data Scientist to join a focused team within D2C Data Science supporting payment and subscription experiences across PlayStation’s direct-to-consumer business. This is a hands-on role for someone who can use statistics, machine learning, experimentation, and strong data judgment to help teams make better decisions about how players pay, subscribe, and move through global payment flows. The initial portfolio is expected to focus on payment method performance, payment flow optimization, subscription payment recovery, and ROI-based evaluation of experiments and business interventions. You will help teams understand customer behavior, payment success, cost and routing tradeoffs, and the business impact of new payment capabilities. Our team values practical scientific rigor: clear decision framing, trusted reusable metrics, transparent uncertainty, and recommendations that help teams move faster without sacrificing measurement quality. This role is best suited for someone who can independently own well-scoped analyses and models, work through ambiguity, and translate complex data into recommendations that improve customer experience and business performance. Responsibilities - Apply data science methods to high-impact questions across D2C payments, subscriptions, commerce, lifecycle, and player experience. - Design, analyze, and interpret A/B tests, holdouts, quasi-experimental analyses, and other measurement approaches with clear hypotheses, metrics, and decision criteria. - Analyze payment and subscription outcomes such as payment success, authorization performance, payment funnel behavior, routing or retry performance, cost tradeoffs, and subscription recovery. - Build statistical and machine learning models for forecasting, segmentation, propensity, retention, payment success, payment optimization, subscription outcomes, or offer performance. - Use SQL and Python to prepare data, validate assumptions, analyze behavior, and produce reproducible analytical workflows. - Partner with product, engineering, finance, marketing, operations, and data engineering teams to ensure analyses are technically sound, actionable, and operationally useful. - Communicate findings with clear recommendations, confidence levels, caveats, tradeoffs, next steps, and reusable documentation that supports better decision-making. Basic Qualifications - 3+ years of professional experience in data science or machine learning - Bachelor's degree in statistics, mathematics, computer science, engineering, data science, or a related quantitative field or equivalent - Strong SQL and Python skills for data extraction, data validation, analysis, modeling, and reproducible workflows. - Solid foundation in statistics, experimental design, machine learning, predictive modeling. - Experience applying data science methods to ambiguous commercial, customer, payment, subscription, or operational problems. - Ability to communicate technical findings clearly to technical and non-technical partners. Preferred Qualifications - Experience with digital commerce, payments, billing, subscriptions, fintech, marketplaces, gaming, media, or scaled consumer technology businesses. - Experience with payment method performance, authorization or success-rate analysis, payment optimization, routing or retry strategies, cost analysis, payment telemetry, or subscription recovery. - Experience designing, running, or analyzing experiments, including A/B tests, holdouts, quasi-experimental approaches, or causal inference methods. - Experience with forecasting, customer segmentation, churn / retention modeling, offer measurement, payment success modeling, subscription lifecycle analytics, or ROI-based business evaluation. - Experience working with large-scale data environments such as Snowflake, Databricks, Spark, BigQuery , or similar platforms, and familiarity with metric layers or source-of-truth datasets. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $143,400 - $215,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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Data Scientist - CLV

Negotiable

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Department Overview: At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The CLV team focuses on understanding player behaviour and driving more effective engagement across the player lifecycle — from acquisition and onboarding through to retention, monetisation, and long-term value. As a Data Scientist, you will develop models and insights that help drive more personalised player experiences and inform commercial and product decisions at scale. You will work in cross-functional teams to translate player behaviour into actionable strategies that drive measurable improvements in player engagement and value. This role is ideal for an individual who is comfortable owning problems end-to-end — from framing and modelling through to delivering impact — and partnering with stakeholders to support data-informed decision-making. What You’ll Be Doing: - Own the development and delivery of machine learning models for use cases such as churn prediction, purchase propensity, store recommendations, customer lifetime value. - Translate business problems into modelling approaches, selecting appropriate methods and features to deliver measurable impact. - Work with large-scale behavioural and transactional data to uncover patterns and opportunities for player growth and engagement. - Collaborate within cross-functional teams, including engineering, product, and commercial stakeholders, to ensure solutions are robust, scalable, and aligned with business needs. - Partner with stakeholders across commercial, finance, and lifecycle teams to support decision-making with data-driven insights. - Clearly communicate findings and recommendations to both technical and non-technical audiences. - Develop and expand your understanding of more advanced modelling approaches (e.g. deep learning and sequence-based methods) as part of solving increasingly complex problems. What We’re Looking For: You're curious, analytical, and a strong problem-solver, with a structured approach to tackling business problems. You bring strong foundations in modelling and data manipulation, and are motivated by applying these to impactful, commercial problems. - Experience building predictive models (e.g. churn, propensity, segmentation, or value modelling) in a commercial setting. - Ability to independently take a problem from definition through to solution and delivery, demonstrating initiative and ownership. - Proficiency in Python and SQL, and familiarity with common data science and ML libraries. - Solid understanding of machine learning techniques (e.g. regression, tree-based models, clustering) and when to apply them, including how to refine and tune them for real-world problems. - Strong communication and collaboration skills, with the ability to clearly articulate insights and work effectively with cross-functional stakeholders. - Awareness of modern machine learning approaches (e.g. embeddings, sequence models, deep learning) and interest in applying them to real-world problems. - Experience working with large datasets to generate actionable insights. - A strong academic background, typically a Master’s or Ph.D. in a quantitative or technical field (e.g. Mathematics, Statistics, Computer Science). Nice to Have: - Familiarity with production environments, MLOps, or data pipelines. - Experience working with large-scale data using PySpark or equivalent distributed data processing tools. - Experience in gaming, e-commerce, or subscription-based products. Benefits: - Discretionary bonus opportunity - Private Medical Insurance - Dental Scheme - 25 days holiday per year - On Site Gym - Subsidised Café - Free soft drinks - On site bar - Access to cycle garage and showers Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

S

AI Engineer

Negotiable

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. AI Software Engineer - D2C - SPOC Sony Interactive Entertainment (SIE) PlayStation; San Diego, CA Who we are The Direct to Consumer (D2C) Data Science organization comprises Data Science, Data Engineering and ML Engineering practices. D2C Data Science helps PlayStation grow and operate its digital business across commerce, subscriptions, payments, lifecycle experiences and player-facing services. We partner with product, engineering, finance, marketing and operations teams to turn experimentation, forecasting, AI and production-quality measurement into better player experiences. Role overview Within D2C Data Science, the D2C ML Engineering team is seeking an AI Software Engineer to help design, build, and support production AI capabilities that solve high-value business problems across SPOC and the broader digital commerce ecosystem. This is not a model-training or predictive-platform ownership role; it is an applied AI engineering role focused on turning AI into dependable products, services, and automation. You will work with core engineering, operations, data, risk, and product partners to build AI-powered workflows that improve speed, quality, insight, and decision support. The work may include LLM-powered services, retrieval-augmented generation (RAG), agentic workflows, tool/function calling, evaluation harnesses, guardrails, and reusable AI platform components. The ideal candidate is a strong software engineer with backend or platform experience and practical hands-on applied AI experience. You are comfortable building with foundation model APIs, vector and hybrid search, prompt and model evaluation, AI observability, and cloud-based services, and you are eager to learn while contributing to reliable production systems. What you’ll be doing Build Applied AI Features: Implement services, workflows, and reusable components for LLM-powered automation, retrieval, tool use, summarization, classification, decision support, and knowledge workflows. Solve Business Problems with AI: Collaborate with operations, product, data, risk, and engineering stakeholders to understand use cases, prototype solutions, measure outcomes, and help move proven capabilities into production. Support Agentic Workflows and Integrations: Build AI workflows that use tool/function calling, structured outputs, workflow state, internal APIs, and human review patterns to take useful action while staying auditable and controlled. Develop Retrieval and Knowledge Systems: Contribute to RAG and agentic retrieval pipelines over enterprise content and operational data using embeddings, vector databases, hybrid search, reranking, citations, access controls, and freshness strategies. Improve AI Quality, Safety, and Evaluation: Create and maintain evaluation suites, regression tests, prompt/model versioning, trace analysis, guardrails, policy checks, PII handling, hallucination mitigation, and operational monitoring. Production AI Engineering: Develop scalable APIs, microservices, and event-driven workflows in Python or Java, with attention to reliability, resilience, security, cost efficiency, and clean integration with existing services. Cloud Delivery and Automation: Deploy AI services using AWS, containers, infrastructure as code, CI/CD pipelines, secrets management, observability, and operational runbooks. Cross-Functional Collaboration: Participate in design reviews, implementation planning, troubleshooting, documentation, and knowledge sharing across technical and non-technical teams. What we’re looking for Educational Background: Bachelor's degree in computer science, engineering, a related technical field, or equivalent practical experience, with 2+ years of professional software engineering experience. Applied AI Experience: Hands-on experience building AI or generative AI features that connect model APIs to business workflows, data, documents, or internal services. Coding Proficiency: Strong software engineering skills in Python and/or Java, including API development, testing, debugging, asynchronous processing, and maintainable service design. Cloud Competency: Experience with AWS or equivalent cloud services RAG and Retrieval Systems: Familiarity with embeddings, chunking, indexing, retrieval strategies, vector and hybrid search, reranking, citations, and vector stores such as OpenSearch, Pinecone, Weaviate, Redis, pgvector, Azure AI Search, or similar technologies. Agent and Workflow Orchestration: Experience with AI orchestration patterns and tools such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, OpenAI Agents SDK, N8N, AWS Bedrock Agents and Knowledge Bases, or comparable tools. Structured Outputs and Tool Use: Experience designing prompts, schemas, tool/function calls, workflow contracts, and validation logic so AI systems can produce dependable outputs and interact safely with internal systems. AI Observability and Evaluation: Familiarity with tracing, monitoring, evals, prompt testing, quality metrics, and debugging tools such as LangSmith, Arize Phoenix, OpenTelemetry, Datadog, Splunk, New Relic, CloudWatch, or comparable platforms. Communication Skills: Possesses exceptional communication skills, able to turn business requirements into technical tasks, collaborate across teams, and explain AI tradeoffs in clear, practical terms. Preferred Skills Model Context and Connectors: Familiarity with Model Context Protocol (MCP) or similar patterns for connecting AI applications to enterprise tools, databases, documents, and workflows. Multimodal AI Systems: Experience with text, image, document, audio, or video models, including multimodal embeddings, OCR/document understanding, or content moderation workflows. Commerce or Trust Domain Experience: Experience applying AI to fraud, payments, risk, customer support, marketplace operations, trust and safety, content operations, or digital commerce business processes. PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. We've thrilled gamers since 1994 when we launched the original PlayStation. Today, we're recognized as a global leader in interactive and digital entertainment. The PlayStation brand falls under Sony Interactive Entertainment, a wholly owned subsidiary of Sony Corporation. Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $150,000 - $225,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

S

AI Engineer

Negotiable

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Who we are: The Direct to Consumer (D2C) Data Science organisation comprises Data Science, Data Engineering and ML Engineering practices. D2C Data Science helps PlayStation grow and operate its digital business across commerce, subscriptions, payments, lifecycle experiences and player-facing services. We partner with product, engineering, finance, marketing and operations teams to turn experimentation, forecasting, AI and production-quality measurement into better player experiences. Role overview: Within D2C Data Science, the D2C ML Engineering team is seeking an AI Software Engineer to help design, build, and support production AI capabilities that solve high-value business problems across SPOC and the broader digital commerce ecosystem. This is not a model-training or predictive-platform ownership role; it is an applied AI engineering role focused on turning AI into dependable products, services, and automation. You will work with core engineering, operations, data, risk, and product partners to build AI-powered workflows that improve speed, quality, insight, and decision support. The work may include LLM-powered services, retrieval-augmented generation (RAG), agentic workflows, tool/function calling, evaluation harnesses, guardrails, and reusable AI platform components. The ideal candidate is a strong Software Engineer with backend or platform experience and practical hands-on applied AI experience. You are comfortable building with foundation model APIs, vector and hybrid search, prompt and model evaluation, AI observability, and cloud-based services, and you are eager to learn while contributing to reliable production systems. What you’ll be doing: - Build Applied AI features: - Implement services, workflows, and reusable components for LLM-powered automation, retrieval, tool use, summarization, classification, decision support, and knowledge workflows. - Solve Business Problems with AI: - Collaborate with operations, product, data, risk, and engineering stakeholders to understand use cases, prototype solutions, measure outcomes, and help move proven capabilities into production. - Support Agentic Workflows and Integrations: - Build AI workflows that use tool/function calling, structured outputs, workflow state, internal APIs, and human review patterns to take useful action while staying auditable and controlled. - Develop Retrieval and Knowledge Systems: - Contribute to RAG and agentic retrieval pipelines over enterprise content and operational data using embeddings, vector databases, hybrid search, reranking, citations, access controls, and freshness strategies. - Improve AI Quality, Safety, and Evaluation: - Create and maintain evaluation suites, regression tests, prompt/model versioning, trace analysis, guardrails, policy checks, PII handling, hallucination mitigation, and operational monitoring. - Production AI Engineering: - Develop scalable APIs, microservices, and event-driven workflows in Python or Java, with attention to reliability, resilience, security, cost efficiency, and clean integration with existing services. - Cloud Delivery and Automation: - Deploy AI services using AWS, containers, infrastructure as code, CI/CD pipelines, secrets management, observability, and operational runbooks. - Cross-Functional Collaboration: - Participate in design reviews, implementation planning, troubleshooting, documentation, and knowledge sharing across technical and non-technical teams. What we’re looking for: - 3+ years (or equivalent) of Software Engineering experience within a professional working environment - Hands-on experience building AI or generative AI features that connect model APIs to business workflows, data, documents, or internal services. - Coding Proficiency: Strong software engineering skills in Python and/or Java, including API development, testing, debugging, asynchronous processing, and maintainable service design. - Cloud Competency: Experience with AWS or equivalent cloud services - RAG and Retrieval Systems: Familiarity with embeddings, chunking, indexing, retrieval strategies, vector and hybrid search, reranking, citations, and vector stores such as OpenSearch, Pinecone, Weaviate, Redis, pgvector, Azure AI Search, or similar technologies. - Agent and Workflow Orchestration: Experience with AI orchestration patterns and tools such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, OpenAI Agents SDK, N8N, AWS Bedrock Agents and Knowledge Bases, or comparable tools. - Structured Outputs and Tool Use: Experience designing prompts, schemas, tool/function calls, workflow contracts, and validation logic so AI systems can produce dependable outputs and interact safely with internal systems. - AI Observability and Evaluation: Familiarity with tracing, monitoring, evals, prompt testing, quality metrics, and debugging tools such as LangSmith, Arize Phoenix, OpenTelemetry, Datadog, Splunk, New Relic, CloudWatch, or comparable platforms. Desirable: - Degree and/or qualification in Computer Science, Software Engineering, or a related technical field - Model Context and Connectors: Familiarity with Model Context Protocol (MCP) or similar patterns for connecting AI applications to enterprise tools, databases, documents, and workflows. - Multimodal AI Systems: Experience with text, image, document, audio, or video models, including multimodal embeddings, OCR/document understanding, or content moderation workflows. - Commerce or Trust Domain Experience: Experience applying AI to fraud, payments, risk, customer support, marketplace operations, trust and safety, content operations, or digital commerce business processes. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

S

Technical Assurance Lead

Negotiable

Scale is powering the generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand across global markets, including accelerating public sector and commercial business. Scale seeks a Technical Assurance Lead to drive assurance programs across Scale's public sector and commercial business. Reporting to the Head of Global Assurance, this is a hands-on individual contributor role with significant autonomy. Scale is looking for an experienced security and compliance professional to support Security Risk Management Assessment and Authorization (A&A) audit activities for Scale’s products. You will be part of the global GRC team and work across Public Sector, Enterprise, Security, Engineering, Product, and Legal to deliver region-specific authorizations, certifications, and customer assurance outcomes, with a focus on the US markets. We are looking for relentlessly curious, deliberately open-minded, and action-oriented generalists who can advise on internal policies, and operational processes while employing an empathetic interpersonal style. If you enjoy solving novel and challenging problems and building strong relationships while doing it, we’d love to hear from you! You Will - Lead public sector compliance programs (e.g., FedRAMP HIGH, DoD SRG IL4/IL5/IL6, NIST 800-53/800-171, CMMC, and RMF), owning controls mapping, gap analysis, evidence collection, ATO packages, and certification timelines, including coordination with 3PAOs and external assessors. - Oversee Security Risk Management A & A processes, including cloud system risk assessments, POAM development and tracking, vulnerability management, STIG implementation, and security configuration oversight. - Drive cross-functional control implementation by partnering with product, engineering, security, operations, legal, and people ops to deploy technical, administrative, and operational controls. - Set priorities and cadences for intake, evidence collection, remediation tracking, and deadline management, and reporting program health and risks to the Head of Global Assurance. - Manage external relationships with auditors, assessors, certification bodies, and regulatory counterparts to achieve and sustain compliance outcomes. - Maintain system security documentation and GRC tooling, including continuous updates to security documentation and uploading control evidence to eMASS or Xacta throughout the monitoring phase. - Lead compliance reviews for new products and features, and proactively advise the business on emerging certification programs, regulatory changes, and evolving requirements. - Maintain and expand Scale's certification portfolio, including SOC 2, ISO 27001, ISO 42001, and ISO 9001, working with the global GRC team on renewals and new certifications. - Support customer and stakeholder assurance activities, including security questionnaires, due diligence responses, compliance input to bids, and customer-facing assurance discussions. You’ll Have - An active US Top Secret security clearance with minimum IAT Level 2 certification (Security +, CASP, or similar). Ideally, You’d Have - 7+ years of experience in security compliance, technology audit, GRC, cloud security, or related roles, with meaningful exposure to the public sector markets. - Experience implementing and maintaining some of the following frameworks and standards: FedRAMP, DoD Cloud Computing SRG, NIST 800-171, NIST 800-53, CMMC, NIST 800-53. - Deep familiarity with one or more of: STIG/RMF policy knowledge & implementation, including validating compliance via ACAS and other relevant tests, ISO 27001, ISO 9001, ISO 42001, SOC 2, or equivalent frameworks. - Experience in project management and taking projects from conception to launch. - An ability to translate between business and technical risk and communicate clearly to leadership. - Experience managing controls mapping, evidence collection, remediation tracking, and audit coordination across distributed engineering and infrastructure teams. - Experience with cloud environments (one or more of: AWS, Azure, GCP) and the ability to assess cloud architecture against compliance requirements. - Strong communication skills, sound judgment on escalation, and the ability to operate autonomously while maintaining alignment with a global program. Nice to Have - Bachelor’s degree in accounting, information systems, computer science, or a related field. - Relevant certifications such as CISSP, CISM, CISA, ISO 27001 Lead Auditor, ISO 42001 Internal Auditor, or CCSP. - Experience at a high-growth technology company. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

R

Research Associate, Assay Operations (Contractor)

Negotiable

Your work will change lives. Including your own. The Impact You’ll Make Your work as part of our High Throughput Screening (HTS) team will significantly increase the speed of our drug discovery platform and help achieve our mission of decoding biology to radically improve lives. As a Research Associate, you will play a critical role in identifying drug candidates by delivering consistent, high-quality multi-omics and high-content screening data. This data supports critical decision-making for internal research programs and external partnerships. In This Role, You Will: - Execute High-Throughput Experiments: Conduct hundreds of high-content screens per year using basic molecular biology techniques and automated laboratory instrumentation in 384- and 1536-well microplates. - Prioritize Production: Execute production-focused assay work as your highest priority, ensuring full adherence to established SOPs, quality standards, and safety requirements. - Maintain Lab Excellence: Perform equipment maintenance, QC validations, reagent preparation, and monitor experiments to ensure operational sustainability. - Drive Continuous Improvement: Participate in projects aimed at improving laboratory performance, increasing throughput, and reducing "toil" through automation and process optimization. - Communicate Proactively: Take ownership of assigned work and proactively communicate assay status, risks, and delays to stakeholders. - Collaborate and Develop: Participate in cross-training efforts to increase team flexibility and expand your own technical skills in the multi-omics space. The Team You’ll Join You will join a high-performing, mission-focused group in our high-throughput screening platform. This is a dynamic team that is tenacious in problem-solving and rigorous in challenging the status quo, while maintaining an incredibly supportive and collaborative environment. The Experience You’ll Need - Education: A Bachelor’s degree or similar in a biological field. - Technical Skills: Proficiency in molecular biology concepts and experience with automated, computer-controlled laboratory instrumentation. - Computational Comfort: Familiarity with computational tools to leverage efficiency. - Mindset: The ability to think on your feet, knowing when to ask for help and when to figure things out independently. - Culture Fit: A passion for working in a fast-paced environment where you can leverage creativity and independent thinking. Nice-to-Haves - Automation Experience: Experience working with and maintaining liquid handlers like Agilent BioTek EL406s, Beckman Coulter Echo Liquid Handlers, and Hamilton Microlab STAR Liquid Handlers. - Coding Experience: Familiarity with coding, particularly with Python. This is a 6-month contractor role with working hours from 8:00am to 6:00pm, Wednesday through Saturday The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

E

Account Executive - Italy - Mid-Market

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for a highly motivated, self-starter Account Executive who is passionate about voice technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more REQUIREMENTS - 4–6 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms - Experience selling technical solutions to product, engineering, or innovation teams is a strong plus - Proven track record of meeting & exceeding sales targets in a fast-paced environment - Expertise or willingness to learn everything about voice and audio AI and how our solutions can help prospects - Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Fluency in Italian is essential, with additional fluency in Spanish highly desirable LOCATION This role is remote across Europe but if you prefer, you can work from our offices in London, Dublin or Paris. #LI-remote

A

Threat Intel Manager, Model Exploitation & Fraud

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a threat intel manager to build and run our Model Exploitation & Fraud team within Threat Intelligence. This team detects, investigates, and disrupts the large-scale exploitation of Anthropic's AI systems. Model distillation, unauthorized access, account farming and reseller abuse, and fraud and scam operations. You will set the strategy for the mission area, hire and lead a small team of technical investigators, and build the systems, processes, and partnerships that let the team scale. The team includes established senior investigators who own our deepest technical casework, tracing distillation networks, reseller and proxy ecosystems, and financially motivated actors across first-party surfaces and third-party platforms; your job is to direct, resource, and amplify that work, not duplicate it. This area carries regular U.S. government engagement and requires deeply understanding external black market ecosystems and how they interact with our systems. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities - Own strategy, priorities, and outcomes for the Model Exploitation & Fraud mission area; define what we detect, investigate, action, and share - Hire, manage, and develop a team of technical threat investigators; set the quality bar for casework and intelligence reporting - Design clear lanes between this role and the team's senior individual contributors: strategy, people leadership, and program ownership sit with you, while ownership of the deepest technical investigations and tradecraft stays with the senior experts closest to the work - Capable of independently leading complex investigations. - Direct, prioritize, and resource complex investigations into model distillation, unauthorized AI R&D usage, unauthorized access, coordinated account abuse, and fraud/scam networks, partnering with the senior investigators who lead the deepest technical casework and clearing blockers from their path - Drive the redesign of triage for a very high-volume detection pipeline: partner with investigators and engineering to build abuse signals, clustering, and agentic investigation workflows that separate sophisticated actors from noise - Expand the team's coverage into fraud and scams, building the detection and investigation playbooks from the ground up - Own the external engagement program for the area, including regular intelligence sharing with U.S. government partners and industry peers, ensuring the investigators driving the work are visible in those channels - Anticipate how resellers, proxies, and third-party platforms change the abuse surface, and shape coverage accordingly - Work with policy, enforcement, and engineering to convert findings into bans, product mitigations, and safety-by-design improvements - Define and report the team's metrics; brief Safeguards and company leadership on the threat landscape Minimum qualifications - Have led and managed investigative, fraud, platform integrity, or threat intelligence teams, ideally ones built around senior, deeply specialized individual contributors - Have strong domain fluency in scaled abuse — fraud patterns, account abuse, unauthorized access, or platform exploitation economics — sufficient to set priorities, pressure-test findings, and earn the confidence of expert investigators - Are proficient enough in SQL and Python to review data-heavy casework, pressure-test conclusions, and provide surge capacity when the team needs it - Have experience overseeing investigations that track threat actors across surface, deep, and dark web environments, including reseller and access-broker communities - Have working familiarity with large language models and a strong grasp of how models can be distilled, extracted, or exploited at scale - Have built processes, detection systems, or programs from scratch and can show what changed because of them - Communicate crisply with executives, engineers, and external partners alike Preferred qualifications - Experience at a major technology platform on trust and safety, fraud, or abuse investigations at scale - Background in financial crime investigation or fraud analytics - Experience working directly with U.S. government stakeholders on threat reporting - A track record of partnering with, growing, and retaining senior technical specialists, including defining clear scope between management and senior IC tracks - Fluency in Mandarin Chinese and/or Russian with nuanced regional and geopolitical context - Active Top Secret security clearance The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $375,000 - $455,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

E

GTM Enablement - APAC

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs is scaling rapidly across APAC. India is our most established market, Australia has grown substantially, and we are building presence across Singapore, Japan, South Korea, China, and New Zealand. Today, enablement coverage exists in the Americas and EMEA but not APAC. You will be our first enablement hire in the region, owning everything from program architecture to live delivery to market-specific localization. This is a builder role. You will inherit strong global programs and infrastructure, but everything regional starts with you. WHAT YOU WILL DO Own full-stack enablement for APAC. Scope regional needs, design program architecture, build e-learning, deliver live training, and measure impact against ramp time, discovery quality, and win rates. Run biweekly onboarding. Deliver 5 to 6 live sessions per cohort, every two weeks, for new sellers across India, ANZ, Singapore, Japan, South Korea, and China. Continuously improve the curriculum based on cohort feedback and ramp data. Localize global content for APAC markets. Adapt sales decks, one-pagers, talk tracks, and competitive materials for each market. Partner with local AEs and leaders to ensure messaging lands with regional buying committees, procurement norms, and cultural expectations. Orchestrate translation and localization vendors where needed. Be the technical translator. Explain how our voice models and Agents platform work, credibly, to sellers and in customer-facing content. You do not need to be an engineer, but you need to be fluent in how the product works and why it wins. Collaborate with the Partner Enablement Lead. Roll out partner certification and enablement programs across APAC. Localize partner-facing curricula, support regional partner onboarding, and ensure channel sellers have the same product fluency as direct teams. Operate as part of a global team. Collaborate with enablement counterparts in the Americas and EMEA, contribute to global programs, and join the weekly team sync at 4pm CEST at least once per week. WHAT WE ARE LOOKING FOR - 8 to 12 years in GTM roles, with 4 to 6 years in sales enablement (or a technical selling role such as solutions engineering with a transition into enablement) - Experience as an early or first enablement hire for APAC at a US or European software company scaling into the region - Track record building enablement programs from zero: onboarding, ongoing skill development, e-learning, and measurement frameworks - Demonstrated ability to localize HQ-produced content for multiple APAC markets, working through local sellers and vendors rather than translating everything personally - Strong live facilitation skills and the stamina for a recurring, high-frequency delivery cadence - Technical aptitude: comfortable explaining APIs, model behavior, latency, and integration concepts to a sales audience - Experience at API-first or technical product companies strongly preferred (Twilio, Datadog, MongoDB, Snowflake, Stripe, Confluent, Zoom, or similar) - Business fluency in English required; Japanese, Mandarin, or Korean a strong plus - Based in APAC with reliable ability to join a 2pm or 3pm BST team call weekly WHAT SETS YOU APART - You have run distributed onboarding across 5+ timezones and know how to balance live and async delivery - You have sold or enabled sellers on a developer-facing or usage-based product - You have built measurement systems that tie enablement to pipeline and win-rate outcomes, not just completion rates - You have enabled or onboarded channel partners, not just direct sellers. - You have direct operating experience in two or more of: India, ANZ, Japan, Korea, North Asia, Southeast Asia

O

Applied AI Engineer, Cyber | Tokyo

Negotiable

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Tokyo office. We offer relocation support to new employees. In this role, you will: - Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows, serving as a trusted partner to both security executives and technical practitioners. - Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation use cases. - Build and deliver customer-facing demos, prototypes, workshops, proofs of concept, and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, and common security tools. - Scope pilots with clear success criteria, data requirements, workflow integrations, evaluation methods, security constraints, safety boundaries, and human approval points. - Advise customers on safe implementation patterns, including tool and function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approval-gated side effects. - Translate between CISO-level outcomes and practitioner-level implementation details so each audience understands value, risk, and practical next steps. - Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning. - Validate, synthesize, and deliver high-signal feedback to Product, Engineering, Research, Security, and GTM teams based on recurring customer requirements, blockers, product gaps, and emerging cyber workflows. You might thrive in this role if you: - Have 5+ years of technical consulting, solutions engineering, security architecture, cyber advisory, deployment engineering, professional services, or equivalent customer-facing technical experience. - Bring strong cybersecurity domain expertise across one or more areas such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, threat intelligence, red teaming, or security architecture. - Can communicate credibly with CISOs, CTOs, security executives, engineering leaders, and highly technical security practitioners. - Have hands-on experience building prototypes or production systems with APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling. - Understand how to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review. - Are comfortable scoping pilots from ambiguous customer pain, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates. - Have evidence-first security judgment: you validate findings, separate true positives from noise, document assumptions, and avoid overstating model or security claims. - Own problems end-to-end, operate with high throughput across multiple concurrent customer projects, and know when to stay hands-on versus create reusable leverage for the broader field. - Have a humble attitude, an eagerness to help colleagues, and a desire to do whatever it takes to make the team and our customers successful. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

A

Research Associate, Biology

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We are hiring Research Associates: early-career bench scientists who will join a small team to help establish our biology research program. You'll work directly alongside senior scientists, executing and troubleshooting experiments at the bench while learning advanced techniques in a fast-moving, highly collaborative environment. We value curiosity, careful hands, and the willingness to take ownership of a result. Our scientists are eager to teach; we're hiring for motivation and trajectory as much as for existing skill. This is a fully hands-on bench role — while familiarity with computational biology and bioinformatics is welcome, the role does not involve AI/ML model development. Key responsibilities - Execute molecular biology and biochemistry experiments at the bench under the direction of senior scientists - Maintain meticulous, reproducible records and contribute to shared protocols - Troubleshoot experiments, propose adjustments, and present results clearly in group meetings - Maintain mammalian and bacterial cell lines, materials stocks, and reagent inventories - Learn and adopt new techniques rapidly as projects evolve, with training provided Minimum qualifications - Have hands-on research experience in molecular biology, biochemistry, or a closely related field - Are proficient with foundational molecular biology techniques: PCR, gel electrophoresis, molecular cloning, and plasmid preparation - Have experience with aseptic technique and bacterial or mammalian cell culture, and with nucleic acid extraction, purification, and quantification - Follow, document, and adapt experimental protocols with care and precision - Are highly motivated, eager to learn, and energized by hands-on bench work - Are practical and resourceful — you'd rather find a way through than a reason it can't be done - Listen carefully, take feedback well, ask good questions, and are comfortable when priorities shift quickly - Are excited to use AI models as a tool at the bench to plan experiments, interpret data, and decide what to try next Preferred qualifications - A BS or MS in molecular biology, biochemistry, chemical biology, microbiology, bioengineering, or a related discipline - Protein expression and purification experience (e.g., affinity, SEC, IEX) - Mammalian cell culture experience, including transfection and stable line maintenance - Enzyme kinetics or quantitative biochemical assay development (fluorescence, absorbance, FRET) - Next-generation sequencing library preparation experience - Familiarity with common bioinformatics workflows and molecular biology software (e.g., sequence analysis, alignment, primer and construct design) - Experience using AI tools such as Claude in a research setting — for literature review, protocol drafting, data interpretation, or experimental troubleshooting This is a rare opportunity to help define how a frontier AI company does biology. You'll learn quickly, work closely with people who want to teach, and see your results feed directly into how the most capable AI models are evaluated and improved. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $65,000 - $85,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

Threat Intel Manager, CBRN-E & Advanced Weapons

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a threat intel manager to build and run our CBRN-E & Advanced Weapons team within Threat Intelligence. This team detects, investigates, and disrupts attempts to misuse Anthropic's AI systems for chemical, biological, radiological, nuclear, and explosives threats and for the development of advanced or novel weapons. You will mature this from a promising start into a rigorous program, hiring investigators with real CBRN-E, weaponization, and counterproliferation expertise, sharpening detection beyond broad harm screens into threat-specific capabilities, and personally leading the cases where scientific judgment determines whether we're seeing curiosity, legitimate research, or a genuine weapons-development attempt. The area carries significant engagement with government, biosecurity, and scientific stakeholders. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities - Own strategy, priorities, and outcomes for the CBRN-E & Advanced Weapons mission area; mature it from an emerging function into a rigorous investigative program - Hire, manage, and develop a team of investigators with deep domain expertise across biological, chemical, and weapons-development threat areas - Personally lead investigations into attempts to use our systems to develop, enhance, or disseminate CBRN-E weapons, or advanced weapons capabilities - Evolve detection from broad harm screens toward CBRN-specific signals and methodologies tailored to dual-use research concerns, in partnership with our collections engineers - Set the analytic quality bar: cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported weapons programs - Own escalation and enforcement decisions with policy and enforcement teams for the highest-severity misuse category we handle - Lead external engagement with government agencies, biosecurity and chemical-security research communities, and scientific organizations - Inform safety-by-design and capability-evaluation strategies by forecasting how threat actors will leverage frontier AI for CBRN-E purposes - Serve as a liaison to government partners, educating stakeholders on AI-enabled threats through regular reporting and briefings. Minimum qualifications - Are an intelligence analyst, policy expert, or researcher with deep domain expertise in biosecurity, chemical defense, weapons non-proliferation, dual-use research of concern (DURC), or related CBRN-E threat domains - Have led investigative or analytic teams and are a senior domain expert with demonstrated mentorship and program-building experience ready to lead - Have experience with threat actor profiling,threat intelligence analysis frameworks, and collection frameworks - Have hands-on experience with large language models and how AI could be misused for CBRN-E threats - Have excellent stakeholder management skills across researchers, policy experts, legal teams, government, and external partners - Can present analytical work to technical and non-technical audiences, including government stakeholders and senior leadership Preferred qualifications - Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or a related field - Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats in the intelligence community or defense organizations - Experience working with government agencies, defense/national security organizations, or in regulated environments handling sensitive CBRN-E programs, counterproliferation and threat analysis. - Background in AI safety, machine learning security, or technology abuse investigation - Experience building and scaling threat detection systems or abuse monitoring programs - Active Top Secret security clearance The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $375,000 - $455,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.