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Engineering Manager, Agent Oversight
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 is Scale's team focused on pushing the frontier of what agentic applications can do. 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 enterprises and governments 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 Engineering Manager for Agent Oversight, you'll lead the team building our platform for monitoring, evaluating, and improving agentic applications across enterprise and government customers. Agent development tooling is still nascent industry-wide, and we're building the platform to close that gap — covering deployment, monitoring, evaluation, ML-driven improvement, and continuous learning, so agents get better over time. You'll manage the engineering team, drive technical delivery, and work cross-functionally with customers and internal partners to bring these capabilities to production, with the ambition of setting the industry standard for how agentic applications are monitored and improved. Our platform already powers agent deployments for multiple enterprise and government customers. This is a US-based team with members across New York and San Francisco, and you'll help define and grow the team as we scale. You will: - Lead a multi-disciplinary team of software and ML engineers to drive technical delivery across the Scale Generative AI Platform (SGP) - Own the platform's roadmap across deployment, monitoring, evaluation, and ML-driven improvement of agentic applications - Work cross-functionally with customers, forward deployed teams, product, and internal engineering teams to translate enterprise and government requirements into platform capabilities - Build and ship features end-to-end, from system design through debugging and testing - Drive high-velocity experimentation to validate and improve platform capabilities based on real customer usage - Establish the technical direction, culture, and processes for a fast-growing team - Mentor and develop both engineers and ML engineers/scientists, and influence how the team scales technically and organizationally Requirements: - 7+ years of engineering experience, including 2+ years directly managing engineers or ML engineers responsible for a production ML/LLM-powered system — not just consuming a third-party ML API within a feature - Hands-on familiarity with agent architectures — tool use, planning, multi-agent orchestration — and the technical depth to make informed tradeoffs with your team - You can review ML experiment design or evaluation methodology well enough to ask sharp questions and earn credibility with ML engineers and scientists, even if you're
Backend Engineer, Consumer Devices
About the Team The Software Engineering team is responsible for designing and building the scalable, performant, and secure backend systems that power our products—from early prototypes to large-scale deployments. We collaborate closely with product, hardware, and full-stack teams to ensure our infrastructure enables fast iteration while setting a strong foundation for long-term growth. About the Role As a Backend Engineer , you will design and build services, APIs, and infrastructure that support evolving product needs. You’ll apply a deep understanding of backend systems and maintain enough end-to-end context—from hardware to cloud—to guide technical decisions that best serve the product and team. We’re looking for engineers who thrive in fast-paced, collaborative environments and care deeply about building robust systems that scale. This role is based in San Francisco, CA . We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: - Architect, build, and maintain high-performance, secure backend systems. - Design APIs, data models, and infrastructure to support evolving product needs. - Balance near-term development velocity with long-term maintainability and scalability. - Collaborate with cross-functional teams to ensure cohesive, end-to-end solutions. You might thrive in this role if you: - Have 7+ years of professional software engineering experience, with a focus on backend systems. - Have a proven track record of building and scaling systems from early stage to large scale. - Are proficient with Python and Go, and familiar with a range of server-side technologies. - Have a strong grasp of system design, performance optimization, and security best practices. - Can reason about full-stack tradeoffs from hardware through cloud infrastructure. - (Nice to have) Have experience with distributed systems and cloud architectures. - (Nice to have) Bring a background in instrumentation, analytics, and performance tuning. - (Nice to have) Are familiar with hardware-cloud integrations or applied AI services. 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.
Staff+ Software Engineer, Capacity Engineering
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 defe
Sales Development Lead - LATAM
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 Sales Development (Lead) to lead and scale our growing LATAM SDR team. You’ll be stepping into an exciting phase: we already have a strong foundation SDRs in place, new starters joining, and more hires planned as we continue to grow. This role is pivotal in shaping how we generate pipeline, break into new markets, and drive top-of-funnel excellence at ElevenLabs. You’ll bring structure, coaching, and strategy to a high-velocity team, while working closely with Account Executives and sales leadership to fuel our ambitious growth targets. If you're a player-coach who thrives in fast-paced environments, loves building and developing talent, and gets energy from seeing your team win — we’d love to hear from you. In this role you will: - Lead and coach a team of SDRs with plans for continued headcount growth - Establish and refine scalable processes for outbound prospecting, qualification, and AE handoff - Build onboarding, enablement, and coaching frameworks that set your team up for long-term success - Partner with Account Executives and sales leadership to align on pipeline targets and performance metrics - Use data and tooling to continuously optimise strategy, outreach quality, and conversion rates - Support go-to-market experimentation as we expand across customer segments and global markets - Foster a team culture of curiosi
Senior Software Engineer, GenAI
About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine 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. Our Approach As part of the interview process, you’ll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. 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. Responsibilities: - Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers - Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal - Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions - Own core systems critical to our contributor platform, with direct impact on Scale’s GenAI data pipeline and business outcomes - Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency - Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence - Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements Requirements: - 5+ years of software engineering experience, ideally in high-growth, product-focused environments - Proven track record of shipping production systems at scale - Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability. - Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling - Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal - Strong product sense and ability to translate ambiguous problems into technical solutions - Comfortable working in a fast-paced, high-ownership environment with a bias toward execution <
Staff FullStack Software Engineer, (Forward Deploy...
Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for custom LLMs - Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: - Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation - Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. - Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. - Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. - Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. - Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: - Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems. - 10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP). - Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability. - Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments. - A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization. - A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction. Nice to haves: - Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role - Experience working cross functionally with operations - Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems - Proficient in Arabic For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authori
Senior Software Security Engineer
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 The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software. The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will support one of these areas while contributing across others, with your focus shaped by your strengths and the team's priorities. Responsibilities: - Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments - Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security - Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments - Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies. - Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement - Identify and remediate security gaps through code review, threat modeling, and hands-on debugging - Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation You may be a good fit if you have: - At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production - Bachelor's degree in Computer Science or equivalent industry experience - Strong programming skills in Python or at least one systems language such as Go or Rust - Experience contributing to cloud security controls - A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix - Clear communication skills and the ability to work collaboratively across engineering teams - Low ego and high empathy, with a genuine interest in helping teammates succeed - Passion for AI safety and the role security engineering plays in building trustworthy AI systems Strong candidates may also have: - Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure - Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers - Experience with cloud security posture
B2B Marketing Lead, India
About the Role We are seeking an experienced and versatile India Business Marketing Lead to drive OpenAI’s enterprise and B2B marketing strategy in India. This is a critical leadership role for a full-stack B2B marketer with strong India market judgment—someone who can operate across enterprise, startup, developer, and partner audiences, build foundational capabilities, and deliver high-impact programs that support revenue growth and long-term trust. This role will be responsible for shaping and executing integrated B2B marketing initiatives that support enterprise adoption, partner-led growth, startups, and developer-adjacent business audiences in India. The ideal candidate brings deep experience working with sales-led GTM teams, navigating complex stakeholder environments, and translating global strategy into locally effective execution for India. The preferred location for this role is Mumbai . In this role, you will: - Lead the development and execution of India B2B marketing strategy, aligned with global priorities and India GTM objectives. - Drive full-funnel B2B marketing programs across field marketing, content, customer marketing, events, executive engagement, and partner marketing. - Partner closely with India GTM, Partnerships, Product Marketing, Comms, and Global Affairs to deliver integrated programs that support enterprise adoption and pipeline growth. - Translate global B2B narratives and launches into India-relevant, market-specific execution across enterprise, startup, developer, and partner motions. - Establish strong India marketing operating rhythms, including planning cycles, agency management, budget oversight, performance measurement, and reporting. - Act as the India voice for B2B marketing, bringing market insight, customer perspective, trust signals, and local nuance into global strategy discussions. - Build and scale foundational B2B marketing capabilities in India, with an eye toward future team growth and specialization. You might thrive in this role if you have: - 10+ years of experience in B2B or integrated marketing, ideally within technology, platforms, or high-growth environments. - Proven track record of building and executing B2B marketing programs that support enterprise or partner-led GTM motions in India and/or similarly complex markets. - Strong understanding of India enterprise buying dynamics, including the role of trust, regulation, partners, SI ecosystems, and local proof points. - Demonstrated ability to operate at both strategic and executional levels in fast-moving, ambiguous environments. - Experience working closely with Sales, GTM, Partnerships, Product Marketing, and Comms teams in a matrixed organization. - Excellent communicator and collaborator, with strong stakeholder management and influence skills across business, policy, product, and GTM audiences. - Experience managing teams, agencies, vendors, and regional or local partners in India preferred. Nice to Have: - Experience marketing AI, developer, or highly technical products. - Familiarity with regulated industries or trust-sensitive enterprise environments. - Prior experience leading India, South Asia, regional, or global marketing scopes. At OpenAI, we value thoughtful builders who are excited to operate at the intersection of technology, business, and societal impact. If you’re motivated by complex challenges, India market nuance, and the opportunity to shape how AI is adopted by businesses in India, we’d love to hear from you. 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.
Senior Staff Data Scientist
Why Mozilla? Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we're shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we're doing this while never losing our focus on our core mission to make the internet better for people. The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren't beholden to any shareholders—only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. About this team and role: The Data Science organization shapes Mozilla's most important business decisions through data. As a Senior Staff (P5) Data Scientist, you will be an analytical leader, partnering with senior executives to turn ambiguity into clear, data-driven recommendations that influence Mozilla's long-term strategy. What you'll do: - Strategic Influence: Shape Mozilla's most important business decisions with rigorous, data-driven insights. Turn ambiguity into clear recommendations that influence executive thinking and long-term strategy. - Trusted Partnerships: Build trusted relationships with senior leaders and cross-functional partners. Surface tradeoffs, align stakeholders with differing perspectives, and help teams make better, faster decisions. - Technical Excellence: Design and deliver sophisticated analytical solutions to solve complex, ambiguous problems involving large-scale, high-dimensional data. Set a high technical bar through sound methodology, statistical rigor, and pragmatic execution. - Mentorship and Growth: Serve as a technical leader within the Data Science community. Mentor data scientists, advise managers on technical direction, and elevate the quality of analytical work across the organization. What you'll bring: - Exceptional Communication: Outstanding verbal and written communication skills, with the ability to translate complex technical findings into clear, decision-ready recommendations while preserving analytical rigor. Proven success communicating effectively with both technical and executive audiences. - Influence Without Authority: A track record of driving alignment across cross-functional teams, earning trust through expertise, and leading through influence rather than formal authority. Experience across multiple industries, domains, or problem spaces is a plus. - <span style="font-weight: 400;"&
Software Engineer, Frontier Systems - Power Manage...
About the Team The Frontier Systems team at OpenAI builds, launches, and supports the largest supercomputers in the world that OpenAI uses for its most cutting edge model training. We take data center designs, turn them into real, working systems and build any software needed for running large-scale frontier model trainings. Our mission is to bring up, stabilize and keep these hyperscale supercomputers reliable and efficient during the training of the frontier models. About the Role As a Software Engineer on the Frontier Systems team focused on power management, you will work on critical infrastructure to support cutting-edge research. With large-scale supercomputers consuming substantial amounts of power, managing this efficiently is key to maximizing computational capacity. This role is critical to ensuring that our cutting-edge research supercomputing infrastructure runs smoothly, while maintaining reliability and grid-level power stability. Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale. In this role, you will: - Develop and implement system-level and software-level solutions to optimize power usage in large-scale supercomputers, ensuring efficient and reliable operations. - Build automation to monitor power consumption patterns during training workloads and design algorithms to stabilize these fluctuations, preventing issues with grid reliability. - Work with researchers and engineers to design tools for real-time monitoring, detection, and remediation of power-related hardware and system faults. - Collaborate cross-functionally to translate complex electrical system requirements into code, while driving continuous improvements in power management solutions. - Drive the development of power throttling mechanisms at the IT system level to dynamically adjust power usage based on workload demands and infrastructure limitations. - Collaborate with hardware design teams to integrate system-level power control requirements into IT hardware design, ensuring seamless coordination between software-driven power management and hardware capabilities. You might thrive in this role if you have: - 7+ years of software engineering experience with a focus on solving large-scale, system-level challenges. - Strong proficiency in Python and familiarity with automation and scripting tools (e.g., shell scripting). - Experience with distributed systems to efficiently aggregate and analyze streaming data. - Knowledge of electrical engineering concepts including digital signal processing, power systems, Fast Fourier Transforms, or related areas. - Experience in system-level investigations and development of automated solutions to address power management, fault detection, and remediation. - Strong analytical skills and the ability to dig into noisy data (experience with SQL, PromQL, Pandas, etc.). - Comfort working with both hardware and software teams to solve multidisciplinary problems. Bonus points if you have: - Deep expertise with the power characteristics of synchronous workloads (as seen in supercomputing or model training environments). - Knowledge of power control requirements in IT hardware design, with the ability to drive cross-functional collaboration to integrate power management features into hardware systems effectively. - Working knowledge of control system fundamentals and how physical systems respond to control strategies. 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.
Member of Technical Staff (Rust Engineer, Search)
Perplexity AI is seeking a talented Search Rust Engineer to join our rapidly growing team, driving innovation in AI-powered search experiences. As a Search Rust Engineer, your main mission will be to relentlessly optimize performance - squeezing every millisecond of latency from our search stack, while implementing robust, scalable, and reliable systems. Responsibilities: - Architect, build, and optimize ultra-low-latency search infrastructure using Rust - Profile and instrument services, continuously driving down response times at scale - Develop and maintain distributed backend components powering real-time search and retrieval - Collaborate closely with product and infrastructure teams to design systems that deliver best-in-class query performance - Apply advanced concurrency, memory management, and network programming patterns for maximum throughput - Monitor, debug, and tune production workloads to ensure reliability under demanding traffic - Contribute to code reviews and mentor peers in high-efficiency Rust development Requirements: - Deep expertise in Rust programming, especially for backend/search systems - Experience profiling and tuning high-load, low-latency distributed services - Strong understanding of systems design, Linux internals, and performance debugging - Background in cloud infrastructure - preferably AWS - and container orchestration - Track record of driving efficiency for search or data-intensive products - Ability to thrive in fast-paced environments and own critical product code - Passion for benchmarking, instrumentation, and continuous performance improvement
Partner Enablement Lead, System Integrators
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're looking for a Partner Enablement Lead, System Integrators to define and scale how Anthropic enables its SI ecosystem. This role is responsible for translating partnership and product strategy into clear, repeatable programs that help system integrators build, sell, and deliver with Claude. You will own enablement for a portfolio of our most strategic global SIs and set the strategy, operating model, and team that extends that work across the broader service provider ecosystem, from global integrators to regional and specialist firms. This is a highly cross-functional leadership role that combines 0 to 1 building with scaling global programs. You'll work closely with Partnerships leadership and teams across Sales, Applied AI, Product, Marketing, and Enablement to ensure partner-facing initiatives land clearly and drive measurable outcomes. In this role, you will - Define and lead Anthropic's enablement strategy for the global system integrator ecosystem - Serve as the enablement lead for a portfolio of strategic global SIs, accountable for practitioner readiness and certification outcomes - Build and scale the SI enablement function, including team, operating model, and coverage approach across partner segments - Design and operationalize repeatable programs across onboarding, technical workshops, train-the-trainer, hackathons, and product launches - Develop partner learning pathways and certification delivery models that scale across large practitioner populations - Create high-quality enablement content such as playbooks, solution guides, and technical assets - Enable Anthropic sellers and partner managers to engage, position, and co-sell effectively with SIs - Partner cross-functionally to align priorities, share infrastructure, and ensure consistent execution across partner-facing initiatives - Establish metrics and reporting to track partner activation, certification progress, pipeline contribution, and program effectiveness - Build feedback loops that bring partner insights back into enablement, product, and GTM strategy You might thrive in this role if you - 7-10+ years of Partner Enablement, Alliance or Sales experience - Have built and scaled partner enablement or practice development programs in high-growth technology environments - Have deep experience working with or inside large global system integrators and understand how they build, staff, and grow a technology practice - Bring existing senior relationships across the SI ecosystem and the executive presence to influence practice and alliance leadership - Turn complex product and GTM strategy into clear, scalable programs - Are an effective operator who can lead cross-functional initiatives across complex organizations - Thrive in fast-paced, ambiguous environments and enjoy building from 0 to 1 - Think in systems, operating models, and tiered coverage rather than one-off efforts - Are technically curious about AI and credi
Member of Technical Staff (Software Engineer, Comp...
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences. As a growth engineer at Perplexity, you'll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter. Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and every Perplexity product. - Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each. - Build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces. - Launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes. - Hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts. - Partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces. QUALIFICATIONS - 2+ years of professional software engineering experience (we're open to strong junior and mid-level candidates with a track record of shipping). - Full-stack engineering skills, with comfort across a modern web stack (we use Next.js, React, TypeScript on the frontend and Python on the backend). - Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome. - Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents). - Comfort with SQL and data-informed decision-making — you can pull, segment, and interpret your own funnel data. - Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions. - Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Direct experience on a growth, activation, conversion, retention, or lif
Enterprise Account Executive, Retail
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 Enterprise Account Executive, Retail based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's retail and consumer commerce organizations. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them optimize operations, personalize customer experiences at scale, and strengthen their competitive position with Anthropic's AI solutions. Responsibilities: - Own and exceed revenue targets by winning new major retail accounts and expanding existing relationships across Japan's domestic retailers, convenience store chains, e-commerce platforms, and omnichannel brands - Build and execute territory plans, identifying high-value opportunities across supermarket and convenience store groups, specialty retailers, fashion houses, and marketplace platforms - Lead consultative sales processes with senior executives — including CIOs, CDOs, CMOs, and heads of supply chain and e-commerce — positioning AI as a driver for demand forecasting, personalization, inventory optimization, and enhanced customer experience - Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that integrate with existing retail technology stacks while meeting Japan's data privacy requirements under the APPI framework You may be a good fit if you have: - 8+ years of enterprise sales experience in Japan with significant exposure to retail and consumer commerce accounts, driving adoption of emerging technologies with a consultative, solutions-oriented approach - A track record of managing complex sales processes and securing strategic deals with large-scale retailers by understanding the operational and technology challenges unique to Japan's retail landscape - Demonstrated ability to navigate retail stakeholder ecosystems, building consensus across merchandising, supply chain, digital, and customer experience teams with multiple budget authorities and approval layers - Proven experience exceeding revenue targets by effectively managing pipeline across seasonal retail cycles and the rapid decision-making cadence of consumer-facing businesses - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality — you are a true team player who thrives in ambiguous, startup-like environments - A strategic, analytical approach to identifying opportunities within Japan's retail sector combined with patient, relationship-focused execution - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit - Excellent communication skills in both Japanese and English What We Offer - Competitive base salary and commission structure commensurate with experience - Equity participation - Comprehensive benefits package - Hybrid work model with flexibility - Access to cutting-edge AI technology and world-class re
Technical Program Manager, Applied API & Product
Technical Program Manager – Applied Product & Platform About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. Technical Program Managers at OpenAI play a key leadership role in scaling these efforts, partnering deeply with product, engineering, design, and go-to-market teams to bring ambitious ideas to life and ensure clarity and discipline in execution. About the Role We’re seeking a Technical Program Manager to drive complex, large-scale product and platform initiatives across ChatGPT, API, and related surfaces. This role sits at the intersection of technical strategy and execution. You’ll be responsible for translating product vision into actionable plans, shaping interfaces and experiences from both consumer and developer perspectives, and ensuring successful delivery across web, mobile, and platform layers. You’ll bring deep technical fluency, product sense, and a strong execution track record. You’re comfortable managing ambiguity, influencing architectural direction, advocating for developers, and leading cross-functional delivery with discipline and empathy. Location: San Francisco, CA (Hybrid – 3 days/week in-office) In this role, you will: - Collaborate with product, engineering, and design to shape roadmaps, technical strategies, and long-term platform direction. - Translate product vision into clear, scalable technical execution plans, balancing short-term delivery with long-term platform evolution. - Lead end-to-end execution of cross-functional product and platform programs—from planning through launch and iteration. - Own timelines, milestones, dependency management, risk mitigation, and accountability across teams. - Partner with engineering teams to influence architectural decisions and interface definitions for public and internal APIs. - Understand full-stack systems across client (web, mobile) and server (API, back-end) surfaces to ensure holistic and performant solutions. - Serve as a central coordination point across product, design, engineering, legal, policy, and go-to-market stakeholders. - Ensure alignment on priorities and unblock teams through structured execution and consistent communication. - Deliver crisp and clear updates to technical and executive stakeholders on program health, risks, and tradeoffs. - Influence product and leadership decisions by representing developer and customer perspectives grounded in deep context. - Identify systemic inefficiencies and propose new tools or processes to improve product delivery and cross-team velocity. - Leverage data and AI-powered internal tooling to track progress, surface gaps, and optimize product and developer experiences. You might thrive in this role if you: - Have 10–15+ years of experience driving high-impact technical programs in product and platform domains. - Have strong technical acumen across front-end/client technologies, API development, and scalable systems architecture. - Have successfully delivered developer-facing tools or platforms and can advocate for the end-user and developer experience. - Bring excellent program management discipline—comfortable managing multiple concurrent efforts, leading complex execution, and bringing clarity to ambiguity. - Demonstrate product intuition and can connect user needs to technical tradeoffs and platform decisions. - Are a highly structured and empathetic communicator who fosters alignment and moves cross-functional teams forward. - Are curious, hands-on, and thrive in a fast-moving environment with high trust and high standards. 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.
Senior Data Scientist, Consumer
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Benefits: - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Comprehensive Medical Benefits & Health Care Spending Account - Registered Retirement Savings Plan with matching contributions - Income Replacement Programs - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave LI-Remote #LI-NH1 In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . <span style="font-
Forward Deployed Engineer - UAE
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). About the role Forward Deployed Engineers lead complex deployments of frontier models in production. You will embed with customers where model performance matters, delivery is urgent, and ambiguity is the default. You will use this to map their problems,You will use this to map their problems, structure delivery, and ship fast. You will scope, sequence, and build full-stack solutions that create measurable value. You will also drive clarity across internal and external teams. You will identify reusable patterns and share field signal that influences the roadmap. Success in this role means owning the delivery state across workstreams. You will hold the bar on quality and pace and help OpenAI learn through execution. This role is based in Abu Dhabi. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production - Build full-stack systems that deliver customer value and sharpen how we learn - Embed closely with customer teams, understand their needs, and guide adoption of what you build - Scope work, sequence delivery, and remove blockers early - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery - Contribute directly in the code when progress or clarity depends on it - Codify working patterns into tools, playbooks, or building blocks that others can use - Share field feedback that helps Research and Product understand where the models succeed and where they can improve - Keep teams moving through clarity and follow-through You might thrive in this role if you - Bring 5+ years of engineering or technical deployment experience that includes customer-facing work - Have scoped and delivered complex systems in fast-moving or ambiguous environments - Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience - Simplify complexity and make fast, sound decisions under pressure - Communicate clearly with engineers, product teams, and customer stakeholders - Spot risks early and adjust without slowing down - Model calm and judgment when the stakes are high 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.
Software Engineer, Private Computing
About the Team The Private Computing team works across product, engineering, security, and safety to build advanced privacy products and infrastructure at OpenAI. Our mission is to provide world-class security features to users so their private data remains private, even from OpenAI. We use technologies like confidential computing, trusted execution environments, and end-to-end encryption to ship product features across ChatGPT, the API, and our future consumer devices. About the Role We’re looking for software engineers to design, build, and scale novel privacy features and infrastructure across ChatGPT, API, and future consumer devices. In this role, you will: - Ship fast while balancing difficult trade-offs in complex domains - Build core abstractions for trusted execution environments and end-to-end-encryption - Build product features for private inference and storage across ChatGPT, API, and future consumer devices - Update build systems to increase trust and verifiability - Integrate with safety and integrity infrastructure - Operate systems at scale with high reliability, including an on-call rotation - Collaborate with a diverse set of cross-functional teams across product, engineering, security, safety, policy, and legal You might thrive in this role if you: - Care deeply about user privacy and security - Have 5+ years of experience in professional software engineering - Have experience building and scaling confidential computing or encryption technologies in production environments - Have experience with Kubernetes and cloud orchestration systems - Take pride in building and operating scalable, reliable, secure systems - Can collaborate well and drive alignment in the face of difficult trade-offs - Are comfortable with ambiguity and rapid change Workplace & Location This role is based in San Francisco, CA. We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees. 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.
Enterprise Account Executive, Tech
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 Enterprise Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch - Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns - Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge - Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience - Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you: - 5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach - A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions - Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups - Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders - Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives - A knack for bringing order to chaos and an enthusiastic “
Account Director, Financial Services
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role As an Account Director focused on Insurance you will own executive-level relationships with leading Insurance organizations. You’ll help these companies safely and effectively deploy OpenAI’s technology to accelerate financial data analysis, automate backend operations, drive AI-powered research, and personalize customer engagement. This role blends literacy, technical depth, business acumen, and relationship-driven enterprise sales. You will collaborate closely with researchers, engineers, and financial services solution strategists to design secure, compliant, and high-impact AI deployments. This role is based in New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you’ll: - Manage a focused portfolio of Financial Services, specifically Insurance accounts, developing long-term strategic account plans. - Lead complex, multi-stakeholder sales cycles. - Partner with solutions and research engineering to design pilots that demonstrate measurable business impact. - Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated environments. - Own a revenue and consumption target; manage forecasts and pipeline reporting. - Monitor industry and regulatory trends to guide customer and product strategy. - Represent OpenAI at industry conferences and thought-leadership events (e.g., Money2020). - Partner cross-functionally with marketing, partnerships, and communications to build the Financial Services go-to-market motion. You might thrive in this role if you: - 14+ total years selling complex enterprise software or platform-as-a-service solutions. - 4+ years selling to Financial Insurance organizations. - Proven success achieving annual revenue targets >$2M+ in regulated industries. - Experience managing C-suite relationships. - Strong understanding of financial services workflows. - Demonstrated ability to design and execute complex deal and partnership strategies - Are customer-centric and can translate complex business needs into transformative AI solutions. - Are a builder who enjoys designing scalable systems and repeatable sales motions from the ground up. - Are a strategist who anticipates industry shifts and guides enterprise customers through them. - Are energized by ambiguity and motivated to create structure and clarity across complex, cross-functional engagements. 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.
Data Scientist, Product
About the Team Our Applied team brings OpenAI technologies to consumers and businesses around the world. We collaborate across research, engineering, design and business functions to turn cutting-edge AI advancements into impactful real-world applications. Our team has been behind notable product launches ( ChatGPT , API , Sora ), creating tools that help developers write code, enable businesses to operate more efficiently, and empower individuals to learn and create. As AI capabilities rapidly evolve, we focus on ensuring that our products are safe, accessible, and beneficial to all. About the Role As a Data Scientist on the Applied Product team, you will contribute to a data-driven product development culture for consumer and enterprise products at OpenAI. This is critical as our products reach millions of users and businesses worldwide. We are focused on aligning both research and product development to drive measurable impact for these individuals and organizations alike. You should expect to define our north-star metrics, design A/B tests, and establish source-of-truth dashboards that the entire company can use to answer their own product questions. Most importantly, you should expect to be a core member of the product development team. This role is based in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Embed with the product development team as a trusted partner, uncovering new ways to improve the product and drive growth - Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product - Establish a data-driven product development culture by defining, tracking, and operationalizing feature-, product-, and company-level metrics - Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way You might thrive in this role if you have: - 5+ years experience in a quantitative role navigating highly ambiguous environments, ideally as an early data scientist or product analyst at a hyper-growth product company or research org - Proposed, designed, and run rigorous experiments with clear insights and product recommendations utilizing SQL and Python - Defined, implemented, and operationalized new feature and product-level metrics from scratch - Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike - Strategic insights beyond the paradigm of statistical significance testing You could be an especially great fit if you have: - Strong programming background, with ability to run simulations and prototype variants - Experience validating quantitative insights with qualitative methods (e.g. surveys, UXR) - Demonstrated prior experience in NLP, large language models, or generative AI 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.
Principal Machine Learning Engineer, Embodied AI a...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Machine Learning Engineer within the Creator Services Machine Intelligence team, you will focus on the research and development of Embodied AI and Behavioral Agents that revolutionize how games are created and played on Roblox. You will bridge the gap between cutting-edge research and massive-scale product application, building agents capable of complex 3D gameplay and unblocking many use cases across Roblox, from automated playtesting to ensure quality, to "ML Players" with human-like movement and strategic reasoning, playing with real players in games. You will work on feature extraction, model training, building validation / RL platform as well as inference set up leveraging methods from imitation learning to reinforcement learning. And you will create generalizable agents that can perceive 3D environments, understand game rules, plan long-term strategies, and execute complex physics-based actions in real-time. You Will: - Design and implement foundation models end to end through the feature extraction to inference for embodied agents. - Define the long-term roadmap for Game AI and Embodied Intelligence, acting as a technical bar-raiser for code quality and architectural design. - Balance the exploration of cutting-edge deep learning research with the practical constraints of serving models to millions of concurrent users. - Mentor fellow engineers and researchers, fostering a culture of technical excellence and scientific inquiry. - Collaborate with Product Managers, Backend and Game Engine Engineers and other Roblox team members. You Have: - PhD or Master’s in Computer Science, Applied Math, or other field. A record of top-tier publications (e.g., NeurIPS, ICML, CVPR, AAAI, SIGGRAPH, etc) in embodied agents or related domains is a plus. - 7+ years of experience as a Machine Learning Engineer or Research Scientist, applying research to tangible products. - Deep technical understanding of Imitation Learning, Robotics, Reinforcement Learning, Computer Graphics and Vision, with experience working on low-latency motor control (human-like movement) and high-level strategic reasoning (game rules/goals). - Experience with building large scale data/feature pipeline, simulation environments for evaluation / RL. - Experience training models on large-scale distributed clusters and understanding the challenges of inference in real-time gaming environments. - Proficiency in Python (PyTorch/TensorFlow) and familiarity with C#, C++, or similar systems languages. - A passion for bridging the gap betwee
Manager of Commercial Partnerships, Robotics
As the Manager of Commercial Partnerships , you will be the owner of the end-to-end success of our Workplace & Industrial data collection program across Mexico. This is a high-impact role where you are responsible for the strategic output of our regional partners. You will oversee a dedicated support team and manage the full lifecycle of our Workplace and Industrial partnerships—from sourcing and onboarding to ensuring each site hits its critical data collection targets. You are a "Builder-Operator." You enjoy the challenge of scaling a technical program in a dynamic market like Mexico. You are as comfortable analyzing a data-integrity spreadsheet as you are walking a factory floor or coaching your team through a difficult hardware deployment. You will: - Program Ownership: Define and hit the North Star metrics for the Mexico region: data volume, data quality, and hardware uptime across all partner sites. - Team Leadership: Hire, train, and manage a team of Field Operations Specialists. You will define their schedules, set performance KPIs, and ensure they provide technical support to our Workplace & Industrial business partners. - Strategic Partner Management: Act as the senior point of contact for our industrial partners. You will source new partnerships, oversee hardware deployment and replacement, and ensure long-term site production and retention. - Cross-Functional Liaison: Act as the primary link between the Mexico field operations and the HQ Engineering/Product teams, providing data-driven insights to improve hardware reliability. - Data Output Accountability: Own the data collection output for Workplaces across Mexico. You are responsible for ensuring that all sites are hitting their weekly collection targets and that the data being uploaded is high-quality and customer-ready. - Regional Travel & Oversight: Coordinate and participate in travel to partner sites across Mexico City and other states to onboard partners, audit operations, lead complex deployments, and maintain high-level partner relationships. Ideally you'd have: Education & Experience - Professional Background: 5+ years of proven experience in operations, business development, or program management within fast-paced, dynamic environments. - Education: Bachelor’s degree in Business Administration, Logistics, Industrial Engineering, or related fields (open to both technical and non-technical degrees). Business Development & Partner Management - External-Facing Success: Demonstrated track record of success in client-facing roles (Business Development, Sales, Partnerships) with exceptional client management and interpersonal skills. - Complex Project Structuring: Proven ability to structure, price, and negotiate large, multi-faceted projects involving Service Level Agreements (SLAs), operational risk management, and complex legal documentation. - Industry Network (Highly Preferred): An established, sophisticated network of senior-level contacts and decision-makers within the Mexican industrial/manufacturing sectors, alongside a history of converting th
Public Sector Partnerships - Europe Lead
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 are seeking an experienced and dynamic leader to spearhead ElevenLabs’ public sector partnerships and government affairs efforts across Europe. The Public Sector Partnerships Lead will drive our regional public policy and public sector engagement strategies. The person will represent ElevenLabs in conversations with policymakers and other stakeholders, monitor and track regulatory developments that impact the company, help shape frameworks that promote innovation and the responsible use of AI, promote government adoption of ElevenLabs products and services, and help to define and implement policy campaigns and impact initiatives. IN THIS ROLE, YOU WILL: - Lead ElevenLabs engagement with government bodies and officials across Europe, with a focus on AI governance, safety, copyright, privacy, transparency, data protection, competition, and/or digital rights. - Build and maintain strong relationships with policymakers, regulators, industry associations, and civil society groups. - Monitor, analyze, and advise on emerging regulations impacting the company. - Represent ElevenLabs at conferences and industry events, advancing the company’s public policy goals. - Support the development of internal policies by our Legal, Safety, Security, and other teams. - Provide strategic counsel to company leadership on regional policy trends and their business i
Applied AI Architect, Enterprise Tech
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 Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success - Support customers building with both the Claude API and Claude for Work - Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives - Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack - Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases - Identify common integration patterns and contribute insights back to our Product and Engineering teams - Travel occasionally to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: - 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager - Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Comfortable with python - Familiarity with common LLM frameworks and tools or a background in machine learning or data sc
Technical Program Manager, Model Alignment and Dep...
ABOUT THE ROLE Model Alignment and Deployment is a critical, cross-functional effort spanning our Post-Training, Safety Engineering, Trust & Safety, ML Infra/Model Serving, and User Experience Research (UXR) teams. Together, these groups are responsible for transforming powerful pretrained language models into intelligent, engaging, safely aligned, and highly scalable products—working across data, compute, algorithms, infrastructure, and user insights to improve model performance and ensure reliable delivery. As a Technical Program Manager, you will be the operational and programmatic backbone connecting these teams: driving clarity, structure, and execution across some of the most technically complex and high-stakes work at Character.AI http://Character.AI. This is a role for someone who thrives at the intersection of research, safety, user experience, and production. You'll partner closely with research engineers, safety experts, data scientists, infrastructure engineers, and UX researchers to turn ambitious model development goals into well-scoped, well-tracked, cross-functional programs. You will ensure that the data pipelines, evaluation frameworks, alignment workflows, and serving infrastructure underpinning our models are moving fast and moving well. You'll operate effectively in high-ambiguity environments, anticipate risks before they become blockers, and bring the kind of technical fluency needed to earn trust with researchers while communicating clearly to leadership. WHAT YOU’LL DO - Program ownership: Lead planning and execution of cross-functional programs spanning data collection, annotation pipelines, alignment workflows (RLHF, DPO, Constitutional AI), safety guardrails (adversarial testing, red-teaming), and model serving. Establish scopes, goals, timelines, risks, and success metrics. - Cross-functional coordination: Serve as the connective tissue between Post-Training, Safety Engineering, Trust & Safety, ML Infra, UXR, and Product. Translate model development, safety, and user experience priorities into executable roadmaps, keeping tightly coupled workstreams aligned from post-training through to production deployment. - Evaluation & quality: Develop and maintain custom evaluation frameworks to track model performance and user satisfaction. Drive comprehensive quality evaluation initiatives alongside rigorous safety and toxicity baselines. Partner with UXR, researchers, and engineers to identify quality signals, incorporate human feedback, and surface actionable insights on model behavior in production. - Operational excellence: Drive visibility into data pipeline health, annotation quality, training run progress, and deployment readiness. Identify bottlenecks across teams and lead efforts to improve tooling, process, and developer velocity. - Strategic partnership: Partner with research, safety, product, and UXR leadership on prioritization, sequencing, and tradeoffs—balancing aggressive capability scaling with strict safety requirements, user needs, and infrastructure constraints. - Process development: Build and refine the operational patterns, ontologies, and frameworks used to scale new capability development—from prompt engineering and data generation to model behavior specification and safety guidelines. - Vendor & partner management: Own external partner relationships supporting these workstreams, including general and safety-focused annotation vendors, evaluation tooling providers, and data partners. WHAT YOU’LL BRING - 5+ years of experience in technical program management, research operations, or product execution in a fast-moving AI, ML, or research environment. - Deep familiarity with post-training and alignment concepts (supervised fine-tuning, RLHF, AI safety frameworks, LLM evaluation) as well as model deployment/serving, sufficient to engage substantively with both research and infrastructure engineers. - Proven ability to lead complex, multi-team programs in ambiguous, rapidly evolving envi
Senior Machine Learning Engineer
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The CX Intelligence team is part of Coinbase’s Enterprise Applications and Architecture org and builds the customer-facing and internal CX experiences that connect the Help Center, chatbots (CBCB), and agent workflows. The team owns the multi-agent platform which powers coinbase chat, Help Center and agent tooling surfaces, partnering closely with Conversation Design, CX, and other Engg teams to deliver secure, compliant, and scalable AI-powered support. Our work provides the trusted and accurate automated and agent-assisted experiences—helping customers get answers faster while enabling human agents to resolve cases more effectively. We are hiring an IC5 Machine Learning Engineer to drive the evolution of our conversational ecosystem by building a seamless hybrid vendor-internal chatbot experience. You will lead the design and implementation of a sophisticated unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants. This role is pivotal in managing complex state transitions, context sharing, and intent routing across a distributed environment. You’ll thrive here if you enjoy high ownership, architecting complex hand-off logic between disparate LLM frameworks, and building reliable AI-enabled products that are fast, measurable, and scalable. What you'll do: - Architect and deploy the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment. - Build production-grade Python services that bridge advanced ML/AI research with reliable, measurable customer-facing products. - Lead end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through delivery. - Establish best practices for system design, coding standards, and AI/ML development workflows across the team. - Mentor engineers on architectural integrity and modern AI/ML patterns, raising the technical bar for the broader team. - Conduct design reviews to ensure every feature meets Coinbase's standards for security, scalability, and performance. Required Skills and Experience: - 5+ years of professional experience in machine learning and software engineering, with a track record of shipping production-grade ML services at scale. - Hands-on expertise building with modern AI architectures (LLMs, deep learning) and the generative AI ecosystem, including frameworks such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock. - Deep proficiency in Python with demonstrated ability to write clean, maintainable, highly-tested production code. - Specialized knowledge
Principal Data Scientist - Safety
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY CONTENT SAFETY? Content safety and moderation are paramount to maintaining a positive, engaging, and trustworthy platform experience for our global community. In this role, you will apply your expertise in data science, statistics, and causal inference to strategically define, measure, and improve the detection and mitigation of harmful user-generated content and violative on-platform behaviors. Your focus will be on asset-based content across the platform - including games, avatars, and emerging in-game behaviors - by establishing reliable ground truth datasets and developing robust prevalence measurement methodologies. You will collaborate closely with Product, Engineering, Legal, Policy, and Compliance teams, acting as the quantitative expert who guides our defensive strategy against evolving safety threats and ensures accountability and scalable solutions. This is a critical opportunity to build innovative detection systems, define what we measure, and prove the impact of our safety efforts. You Will: - Establish and monitor robust prevalence measurement methodologies to accurately quantify the overall level of harmful content and behavior on the platform, providing the authoritative source of truth for organizational safety goals. - Develop and validate comprehensive ground truth datasets for harmful UGC and violative on-platform behaviors, ensuring high quality and alignment with the latest platform policies. - Deepen our understanding of violations by conducting exploratory analysis on current and emerging threat landscapes, providing data-backed recommendations on where Product and Engineering should strategically invest detection and moderation resources. - Design, implement, and analyze sophisticated experiments for new moderation and safety enforcement features, communicating results to our primary partners in Product and Engineering to guide development, while also collaborating clo
Security Software Engineer, Detection & Response P...
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're seeking an exceptional engineer to join Anthropic's Detection Platform team to build and scale our next-generation security analytics infrastructure. In this role, you'll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations. Responsibilities: - Build AI-powered platform responsible for all aspects of D&R capabilities from detection development to incident response - Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure - Architect solutions for storing and efficiently querying large volumes of security-relevant data - Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities - Work closely with security and infrastructure teams to understand requirements and deliver solutions - Mentor engineers and contribute to hiring and growth of the Security team - Participate in on-call shifts You may be a good fit if you: - 7+ years of experience in software engineering with a focus on security, infrastructure and/or data pipelines - Track record of building and maintaining internal developer tools or security platforms - Strong understanding of data processing pipelines and experience working with large-scale logging systems - Experience with: - Test-driven software development and/or CI/CD (plus for direct experience with Detection-as-code workflows) - Infrastructure-as-code (Terraform, CloudFormation) - Query optimization for large datasets - Experience with building stable and scalable services on cloud infrastructure and serverless architectures - Ability to write maintainable and secure code in Python - Experience working with security teams and translating requirements into technical solutions - Ability to lead technical projects with minimal guidance - Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship - Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics - Outstanding communication skills, translating technical concepts effectively across all organizational levels - Demonstrated success in bringing clarity and ownership to ambiguous technical problems - Strong systems thinking with ability to identify and mitigate risks in complex environments Strong candidates may also have experience with: - Experience building secu
Distinguished Engineer, Machine Learning Systems –...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. At Roblox , we’re building the tools and platform that empower a global community of creators and developers to build immersive experiences and a dynamic virtual economy. Our Economy ML team sits at the heart of this mission, delivering scalable machine learning systems that power personalization, pricing, search, and content understanding across all Economy surfaces: Marketplace, Developer Monetization, Payments, and Avatar. We’re looking for a Distinguished Engineer/Technical Director to lead the strategy and technical direction for ML systems , with a focus on large-scale recommendations, infrastructure, and emerging Generative AI applications. You’ll help build the systems that support retrieval, ranking, generative modeling, and LLM-powered personalization, all at massive scale. This role requires deep systems thinking, hands-on ML expertise, and a vision for how traditional ML and GenAI come together to power the future of the Roblox economy. Why Roblox for ML Systems - AI/ML is a top company priority , with long-term investment. - Real-world scale : Power millions of daily economic interactions across ranking, pricing, fraud, and search. - Full-system ownership : Build and optimize end-to-end ML pipelines; from data ingestion to GPU training to live inference. - Complex surfaces, rich signals : Design systems for 3D content, UGC, avatar metadata, behavioral and economic signals, not just text or images. - Impact meets innovation : Shape the future of the Roblox economy while working on frontier ML infra and GenAI workflows. You will: - Set the technical direction for ML systems powering core economy experiences: personalization, ranking, generative modeling, and more - Build and evolve infrastructure for training, serving, and evaluating both traditional ML models and Generative AI models (e.g., embedding-based retrieval, transformers, LLM-based workflows) - Partner with GenAI teams to explore multi-modal embeddings, avatar generation, and retrieval-augmented generation (RAG) in economic surfaces Lead efforts to optimize ML system performance: low-latency serving, efficient GPU training, and cost-aware inference strategies - Guide the development of robust ML pipelines, online feature stores, and experimentation platforms that suppor
Director of Technology & Systems
About the Role The Director of Technology and Systems will be responsible for building real depth across Finance, GTM, Operations, and People systems, connecting these capabilities into a powerful, AI-integrated backbone. You are a builder-first leader who will blend enterprise architecture with cutting-edge AI automation. Your goal is to eliminate fragmentation and enable every function to move faster by deploying internal AI agents that reduce manual work and surface actionable insights. You will lead the charge in making our internal operations as sophisticated as the external products we build. Key Responsibilities - Enterprise Application Strategy: Own the full lifecycle of our application ecosystem, and specialized AI tools. Ensure these systems converge into a secure, scalable backbone. - AI Agent Deployment: Identify opportunities to replace manual workflows with AI/LLM-powered agents. Build and manage "internal agents" that automate forecasting, revenue capture, and employee self-service. - Cross-Functional Partnership: Serve as the primary technology partner to the leadership team. Align system roadmaps with departmental goals to ensure seamless data flow from production to the back office. - Operational Excellence: Mature our core systems by establishing disciplined change management, clear data governance, and measurable SLAs. Stabilize environments to support audit and regulatory requirements. - Team Leadership: Lead a high-impact team that fosters a culture of curiosity, speed, and user-centricity. Ideally, you have: - 10+ years of experience leading business systems or enterprise applications in a fast-paced, high-growth environment. - Deep familiarity with the enterprise systems landscape across GTM, Finance, and People functions — you understand how these platforms work, where they break down, and how to connect them into a coherent operational backbone. - AI/Automation Mindset: Proven track record of designing and deploying AI/LLM-powered workflows or agentic systems to improve business efficiency. - Architecture Skills: Ability to design scalable data flows and APIs that link disparate SaaS tools into a cohesive ecosystem. - Stakeholder Mastery: Experience influencing C-level executives and translating complex technical needs into business outcomes. - Strong working knowledge of ERP systems and core financial operations — enough to partner credibly with Finance, ask the right questions, and drive system decisions without needing to own every module deeply. - Experience with GTM systems such as, HubSpot, Outreach, Clari, CPQ (e.g., Salesforce CPQ), and similar tools. 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 whe
Global Senior Equity Program Manager
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 seeking an experienced Global Senior Equity Program Manager to manage Anthropic's equity compensation strategy and operations across all global markets. In this pivotal role, you will design, implement, and manage comprehensive equity programs that attract, retain, and motivate top talent while supporting our mission to develop safe and beneficial AI systems. You'll work closely with cross-functional teams including People, Legal, Finance, and Tax to ensure our equity programs are competitive, compliant, and aligned with our values as a public benefit corporation. As Anthropic continues to scale globally, you will play a critical role in building equity frameworks that support our international expansion while maintaining consistency with our compensation philosophy. This role offers the opportunity to shape equity compensation practices at one of the most important AI safety companies during a period of significant growth. Responsibilities: - Oversee daily equity plan operations including grant processing, option exercises, cancellation and cap table management. - Build and optimize processes for equity transactions while ensuring accuracy and compliance - Manage monthly equity reconciliations and reporting - Lead demographic and payroll system integrations to streamline equity operations - Develop and implement automated processes for tax rate calculations and payroll integration - Create scalable workflows that can support our growing headcount and global expansion - Provide high-touch service to ensure employees understand their equity compensation - Execute simple equity tax calculations in coordination with payroll processing - Ensure timely and accurate tax withholding and reporting for equity transactions - Support development of equity tax policies and procedures - Design and document standard operating procedures for all equity operations - Create scalable processes that will support transition to public company requirements - Provide guidance and support to managers and employees on equity-related questions and programs You may be a good fit if you have: - A Certified Equity Professional (CEP) designation - 8+ years of experience in equity administration, stock plan management, or related field - Strong knowledge of equity compensation principles (stock options, RSUs) - Experience with Shareworks equity management platforms - Proficiency in payroll systems integration and tax withholding processes - Detail-oriented with strong analytical and problem-solving skills - Excellent communication skills with ability to explain complex equity concepts to employees Strong candidates may have: - Experience at high-growth technology companies during scaling phases - Knowledge of US and international equity compensation and tax requirements - Excellent project management skills with a
Communications Lead, Enterprise
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 is looking for an Enterprise Communications Lead. This is a central role in how Anthropic shows up with enterprise customers, partners, and buyers. The role spans the full breadth of enterprise communications: product launches translated for business audiences, vertical narratives and launches for industries like financial services and healthcare, partnership and customer announcements, executive thought leadership, competitive positioning, and content that speaks to CIOs, CFOs, and CISOs — and reaches the millions of business users who rely on Claude every day. This team moves fast, and you'll juggle several projects at once, often with overlapping timelines. You're a strong project manager, a self-starter, and a real cross-functional partner — as comfortable building repeatable playbooks as you are running launches. You'll work across multiple enterprise communications disciplines (product, vertical, partner, customer, and executive), drawing on an understanding of how large organizations evaluate technology and a background that mixes product and enterprise communications. Key responsibilities - Product and launch communications. Shape how model and product launches land with business buyers — not just developers — by turning technical capabilities into something a CIO or CFO can act on - Partnership and customer storytelling. Run partnership and customer announcements end to end, and build a library of proof points sales and marketing can use across channels - Vertical and industry communications. Craft the story for priority industries like financial services and healthcare, and own the execution for big moments like Industry Days and The Briefing series - Executive thought leadership. Help Anthropic's commercial and product leaders show up well — in media interviews, on stage, and on social — with a voice that's distinct from the executives already out there - Competitive positioning. Watch the competitive landscape, write messaging that draws a clear contrast, and give spokespeople and go-to-market teams the words and proof points to hold the line on Anthropic's enterprise position - Write across formats, including blog posts, briefing documents, bylines, and social media - Prepare executives for media interviews and speaking engagements - Build relationships with the top enterprise technology, business, and industry reporters - Work closely with sales, partnerships, product marketing, and international teams to tell stories with broad influence - Build playbooks that let a small team punch above its weight Minimum qualifications - Strong writing skills across formats, including blog posts, briefing documents, bylines, and social - Experience in enterprise communications across one or more disciplines such as pro
Associate General Counsel, Product and Privacy
Scale is at the forefront of powering artificial intelligence. We believe that trust in AI is earned with high-quality data for training, fine-tuning, and evaluating AI systems. Our products are transforming how organizations build and deploy AI. Our customers are the world’s most innovative model developers and enterprise and public sector entities looking to apply AI in their organizations. Come join us and work on the most exciting legal issues at the leading edge of artificial intelligence. We're seeking a thoughtful, multidisciplinary Associate General Counsel, Product & Privacy, to be a strategist and thought partner to our business teams in creating the next-generation platform for AI development. This lawyer will lead product and privacy legal initiatives for our cutting-edge products and will report to Scale’s Senior Director and Associate General Counsel responsible for product counsel, privacy, and other areas. The ideal candidate will have a technology background; privacy expertise and fluency in AI, intellectual property, and consumer protection law; experience providing strategic legal guidance that advances data-driven business goals while facilitating regulatory compliance, managing legal risk, and enhancing customer trust; and a demonstrated ability to partner well with cross-functional teams, including superlative communication, collaborative problem-solving, initiative, empathy, urgency, and focus. You will: - Identify and manage legal risks in product development, including privacy, regulatory, licensing, intellectual property, and others. - Develop the product and privacy legal functions, with a focus on maturing, operationalizing, and scaling legal support in these areas. - Partner closely with technical and non-technical teams, including Product, Engineering, Operations, and Security, to future-proof key strategic initiatives involving customer data, payments, and responsible AI. - Be a subject matter expert – for both business partners and the Legal team – on US and global privacy laws and other laws related to products you support. - Build positive and influential relationships with Scale product leadership, and cross-functional partners regarding regulatory matters that impact our products. - Help advance the General Counsel’s and Product and Privacy Legal team’s strategic vision across the company - Develop creative solutions, in partnership with Legal and Product stakeholders, for how legal frameworks can support new products and customer experiences. - Support the drafting and negotiation of commercial agreements, including data protection agreements and others related to your products and services. - Help ensure that Scale and its affiliate companies comply with global privacy and data protection laws and emerging new laws, including the CCPA, GDPR, and other data protection and AI requirements. - Work hands-on with business and product teams to ensure that privacy is embedded into Scale’s products and processes by design and to implement best-in-class privacy and compliance. Ideally you'd have: - 8+ years of legal experience, with a focus on emerging technologies and privacy and data protection counseling. - Expertise in US and global privacy regulations. - Familiarity and experience with launching products and advising on the legal and regulatory aspects of product development in the technology space. - Fluency in translating legal advice into actionable guidance for Product, Engineering, and Operations teams. - Ability to think
Manager of Applied AI Architecture, Startups
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 Manager of Startups Applied AI Architects at Anthropic, you will drive adoption of frontier AI by leading a team of technical architects to help startups build AI-native products with the Claude Developer Platform. Your team is expected to win the trust of founders and engineers by supporting their technical ambitions from early product to scale. You'll bring your own builder credibility and startup instincts to the role — setting the vision for what great technical partnership looks like in the startup segment, developing a high-performing team, and personally carrying relationships with Anthropic's most strategic early-stage accounts. This is a role for a proven technical go-to-market leader who knows how to build teams that move at startup speed, earn the trust of deeply technical buyers, and turn a scrappy early engagement into a lasting technical partnership. You'll define the playbooks for nurturing and scaling new customers, set the bar for technical excellence, and grow the people — while staying close enough to the ground to know what's actually working. You will partner with the New Business sales leader and work as one team to support your customers. Responsibilities: - Lead, develop, and grow a team of Startups Applied AI Architects — setting a high bar for technical credibility, customer impact, and startup-paced execution - Drive team performance through clear goal-setting, regular coaching, and a culture of continuous technical development - Personally lead pre-sales engagements with high-priority startup accounts, from initial technical discovery through deployment and expansion, modeling what great looks like for your team - Build and own the segment's technical playbooks: how to run technical evaluations, develop customer-specific eval frameworks, architect LLM solutions for resource-constrained early-stage teams, and win against competitive alternatives - Partner with aligned Account Executives and GTM leadership to shape segment strategy and drive Claude API adoption across the startup ecosystem - Ensure your team consistently surfaces insights on how startups are building with Claude — emerging use cases, deployment patterns, architectural decisions — and translate that signal into actionable feedback for Product and Engineering - Drive cross-functional influence across Sales, Product, and Engineering to advance startup customer needs and shape roadmap priorities - Build Anthropic's technical presence and credibility in the startup ecosystem through events, conferences, workshops, and content - Stay ahead of the AI engineering landscape — context engineering, eval frameworks, agentic architectures, developer tooling — and ensure your team is operating at the frontier You may be a good fit if you: - Have 8+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Dep
Senior Product Solutions Architect - LLM Observabi...
The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success. Datadog’s LLM Observability product enables organizations to monitor, troubleshoot, and optimize large-scale LLM-powered applications with confidence, while meeting requirements around data privacy, compliance, and cost management. As a Product Solutions Architect, you will partner closely with Datadog customers and the LLM Observability product team to design architectures, implement best practices, and drive adoption of LLM observability across customer environments. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Serve as the in-house subject matter expert for Datadog’s LLM Observability product - Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting LLM Observability - Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community - Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments - Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience Who You Are: - You bring a strong software engineering foundation, with hands-on experience building and operating LLM-powered applications in production environments at a large scale, and are comfortable diving deep into codebases to understand architectural decisions, tradeoffs, and implementation details - You are familiar with distributed systems and core observability concepts, such as tracing, metrics, and logging, and can translate those patterns into the emerging LLM observability domain, including LLM spans, evaluations, and prompt templates - Experience with languages such as Python and/or JavaScript/TypeScript - Comfortable operating in rapidly evolving, ambiguous technical domains - You build deep context across teams and translate it into reusable, scalable solutions - You take ownership from problem definition through implementation and measurable outcomes - Highly detail-oriented, particularly when working on architectures and customer-facing technical assets - You bring strong listening and consultative skills and are experienced supporting customers in high-pressure, complex situations - Able to sit up to 4 hours, traveling to and from client sites - Able to travel via auto, train, or air up to 40% of the time Bonus Points: - Successful track record with 5+ years experience working as a Solutions Architect or Sales Engineer supporting the AI space - Experience using Datadog and/or other observability tools in an SRE or DevOps capacity - Experience with LLM application evaluation and testing frameworks<
Senior Software Engineer, AI/ML Tools - Unpublishe...
Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. We work with both new and current technology, creating innovative solutions to solve complex, large-scale challenges and deliver player value. As a Senior Software Engineer, you’ll own and deliver important features and model best practices within the team. As a Senior Software Engineer on an unpublished R&D product, you will be responsible for designing and implementing AI/ML driven tools for one of Riot’s most exciting new games. You will work closely with designers, producers, and other engineers to understand their needs, and will be hands-on in conceptualizing, planning, implementing, and maintaining AI-powered solutions to increase developer efficiency. We’re looking for someone who is passionate about empowering their team to deliver great player experiences, works well in cross-disciplinary teams, is aware of the latest trends, and finds practical applications of AI/ML technologies. Responsibilities: - Work closely with developers to discover and conceptualize opportunities for AI-powered workflow enhancements - Partner with engineering leaders to help define the team’s future vision for AI-based developer tooling and workflows - Lead the application of AI/ML systems to solve developer and player facing problems - Keep up with technical developments in the industry relating to AI/ML and find practical applications that help solve the team challenges - Partner with central teams to share AI-based solutions across Riot’s portfolio - Model the team’s best practices for tools architecture and implementation - Support and advance the team’s adoption of AI/ML tools through mentorship, documentation, and advocacy - Provide documentation and trainings on new tools and workflows to internal customers Required Qualifications: - 5+ years (or equivalent depth) of professional experience in software engineering, including experience delivering innovative workflow solutions - Experience working with AI/ML systems in a production-ready environment - Applied knowledge in one or more of the following: reinforcement learning, imitation learning, decision-making under uncertainty, LLM, AI planning, or multi-agent systems - 2+ years experience working in a AAA game engine (i.e. Unity, Unreal, etc.) - Proven ability to navigate ambiguous problems with cross-disciplinary stakeholders - Strong communication skills across technical and non-technical audiences - B.S. in computer science or equivalent experience - Proficiency in C++ Desired Qualifications: - Experience working with modern ML/data science libraries and frameworks such as PyTorch/TensorFlow, pandas, etc. - Experience developing tools that integrate with art pipelines (e.g. Maya, Blender, etc.) - Working knowledge of tooling solutions utilized in AAA games around the industry - Experience developing tools that integrate with both client and backend systems - History of contributing to engineering culture and best practices - Experience working on distributed teams For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If
Member of Technical Staff (Machine Learning Engine...
Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. Responsibilities - Relentlessly push search quality forward—through models, data, tools, or any other leverage available - Architect and build core components of our search platform and model stack - Train and evaluate retrieval, ranking and classification models, including LLMs - Deploy models - from boosting to LLMs - in a scalable and performant way - Build and optimize RAG pipelines for grounding and answer generation - Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery Qualifications - Deep understanding of search and retrieval systems, including quality evaluation principles and metrics - Proven track record with large-scale search or recommender systems - Self-driven, with a strong sense of ownership and execution - Minimum of 5 years of working on search or recsys-related projects
Forward Deployed Security Engineer
About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role Our technologies support some of the most important and impactful work in the world, including our strategic and high-impact customers in the public sector. As a Forward Deployed Security Engineer (FDSecE) you will be responsible for securing these novel applications of OpenAI’s technology. We’re looking for motivated, tenacious, and curious people who will work closely with engineering teams to ensure our infrastructure deployments are highly secure against our adversaries. As an FDSecE, you will embed directly throughout the lifecycle, working on-site and being hands-on to ensure the overall security of these deployments from design to production and through ongoing operations. This role is preferred to be based in Washington DC but may consider remote work. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel to and working from customer sites is required for this role. In this role, you will: - Deeply embed with our most strategic public sector customers to implement and maintain robust security controls. - Be a design and technical thought partner by leveraging security expertise on protective controls including access controls, authentication, encryption, network, and system security. - Collaborate closely with teammates, cross-functional teams, customers, and service providers to achieve security and compliance goals. - Ensure continuity of critical security and monitoring controls through routine security assessments, threat monitoring, and security validation exercises. You might thrive in this role if you have: - An active US security clearance. - 5+ years of security engineering experience, with an emphasis on infrastructure security, application security, network security, datacenter security, and systems engineering. - Familiarity with deployment models, including to cloud platforms (Azure, AWS) and the underlying infrastructure primitives (Kubernetes, Terraform) - Proficiency in programming languages such as Python, Golang, or similar. - A proven track record of developing high-quality, scalable, and secure infrastructure. - Experience with security operations including insider threat monitoring, network/endpoint detection and response, or red team or penetration testing operations. - Comprehensive knowledge of modern adversary tactics, techniques, and procedures. - The ability to work collaboratively and effectively in a cross-functional team environment. - Thrive in dynamic environments and can navigate ambiguity with ease. 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.
Account Director, Digital Natives
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of new business opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you'll: - Build and manage a pipeline of new business opportunities - Lead our enterprise prospects’ journeys from consideration to successful deployment - Partner with solutions and research engineering to build and execute complex customer programs and projects - Own a consumption revenue target - Analyze opportunity metrics to create reports and provide insights to internal stakeholders - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering - Support the recruitment and onboarding of other teammates - Support the development of company culture We're seeking someone with experience including: - 7+ years selling platform-as-a-service and/or software-as-a-service - Achieving revenue targets >$1M per year for more than 3 years - Managing and executing complex sales cycles with enterprise customers - Closing deals with fast-growing, high-performance companies - Working directly with c-level executives - Communicating technical concepts to customers and internal stakeholders - Leading high-visibility customer events (CAB, conferences, product launches, etc.) - Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. - Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. - Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. 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.
Senior Data Scientist
Senior Data Scientist at JustPlay. German games industry role. Company category: Game Tech / Tools. Job category: Business Intelligence / Data. Job type: Full-Time. Added: 13.06.2026.
Senior AI Product Manager, Healthcare Agents
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world’s most important decisions. We’re looking for an AI Product Manager to own the Healthcare vertical within our Agents Data & Reinforcement Learning Environments team. In this role, you’ll own both the development of RL environments (the realistic, high-fidelity simulations of healthcare software and workflows that labs use to train and evaluate agents) and the “data as a product” strategy that powers them. You’ll understand where AI is being used in the Healthcare industry, decide what healthcare tasks are worth modeling, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. The ideal candidate has lived inside the Healthcare industry, and is able to pair that domain understanding with a sense for AI research and current agent capabilities in Healthcare workflows. You’ll translate that expertise into environments and datasets that teach AI agents to perform real healthcare work, and you’ll be the domain expert Scale’s most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary. What You’ll Do - Own the Healthcare AI roadmap & data strategy: Set product direction for the Healthcare agents training stack and the data strategy behind it. Establish a vision for where AI is continuing to transform the Healthcare industry, driving execution across engineering, operations, and go-to-market teams. - Build partnerships with research teams at frontier labs: Work directly with researchers at leading AI labs to understand where their Healthcare agentic capabilities fall short and shape new product lines and competitive strategy for the vertical. Connect with AI startups and industry leaders to launch joint benchmarks and build Scale’s brand in Healthcare. - Design and scale Healthcare-specific environments: Scope and build simulations of real Healthcare workflows and environments that let labs train and evaluate agents against real world scenarios. Partner with ML and Operations to translate the judgement, edge cases, and workflows you know from the industry into high quality training products. - Collaborate cross-functionally — influence business priorities and dive into the weeds of research, operations, and customer interactions to deliver mission-critical outcomes. Ideally, You’d Have - 2–4 years of direct experience in the Healthcare industry in one or more of: healthcare research, clinicians & clinical staff using EHRs daily, revenue cycle management, or a healthtech product role, with real depth in how the work gets done. - AI-Forward Thinking : Quick to adopt AI solutions to streamline your day-to-day workflows and an ability to understand and articulate how it’s transforming your industry. - A builder’s mindset: excited by ambiguity and motivated to create new products from the ground up. - Product or customer-facing experience: A track record of owning outcomes, shapin
Senior Machine Learning Engineer, Ads Foundational...
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands. The Ads Foundational Representations (AFR) team develops signals and representations of Reddit’s core entities (ads, posts, users, and so on), capturing the semantic, contextual, and behavioral information that Reddit Ads needs. We work on building embeddings to understand content and users' interests based on the content they engage with. Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas: - Multimodal & Content Embeddings - Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space. - Contextual and Behavioral Relevance - Working with Product & Data Science, establishing definitions of what ads are relevant to users and the content we show them next to, building metrics and fine-tuning embeddings to better reflect relevance. - Knowledge Graph Embeddings - Building representations for the Knowledge graph entities, e.g., intellectual properties/brands, to be used for high-precision targeting & business insights. - User Intent Modeling - Leveraging various techniques to introduce user representations based on the content they interact with: batch & real-time sequence modeling, LLM summarization, etc. - LLM-based Representations - Leveraging LLMs, VLMs, and foundational models to build complex representations of Reddit entities that improve ranking outcomes The signals and features we create become a key piece in the Ads Delivery funnel, from targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization. As a Senior ML Engineer , you’ll be in charge of the full-cycle execution of ML projects - from collaborating with cross-functional teams on requirements and design, to the implementation of the feature and its experimentation. Responsibilities - Developing new or iterating on existing emb
Staff ML Risk Analyst
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff ML Risk Analyst on the Growth & Risk team within the Consumer & Business group, you'll sit at the intersection of fraud intelligence and machine learning infrastructure, defining how we identify, model, and respond to sophisticated fraud at scale. Fraud at Coinbase is fast-evolving, with professional, adaptive counterparties that outpace any human response team. You'll build and shape the ML-powered, automated solutions that detect and prevent account takeover (ATO) and scam activity before it reaches our users, setting the technical direction for the ML Analytics function within Growth & Risk. What you'll do: - Define the ML data and feature strategy for fraud detection, determining what data needs to enter our systems so models can take intelligent, high-accuracy action on the small fraction of traffic where intervention matters most. - Own the end-to-end feature engineering pipeline, identifying, building, validating, and promoting features that drive measurable improvements in ATO and scam ML performance. - Diagnose gaps between current tooling infrastructure and the solutions needed, driving the roadmap to close them by applying deep knowledge of how the ML industry has evolved architecturally. - Partner with Machine Learning Engineers to translate analytical insights into production-ready ML systems, ensuring models are instrumented, monitored, and continuously improved. - Mentor junior team members across the ML Analytics function, defining the technical approach and translating direction into execution. - Partner cross-functionally with Product Managers and Risk Analysts to surface fraud signals and translate ML findings into business-impacting decisions. Required Skills and Experience: - 8+ years of hands-on experience in machine learning analytics, data science, or a related technical field, with meaningful experience applied to risk, fraud, or payments problems. - Practitioner-level proficiency in Spark, Python, and big data ML as a core working stack, with demonstrated ability to operate beyond SQL and rule-based approaches. - Proven experience in feature engineering for ML models, including identifying signals, building pipelines, and validating feature quality at scale. - Working knowledge of the ML infrastructure landscape evolution, from Hadoop-era big data through modern feature stores (e.g., Tecton, Feast), with the ability to apply that context to close infrastructure gaps. - Demonstrated ability to optimize ML systems for sensitivity and accuracy on high-stakes, low-volume fraud traffic rather than broad-coverage, high-volume
Staff+ Software Engineer, Safeguards Review Toolin...
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 Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for engineers for our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms. This is a foundational role: as one of the first engineers on this new team, you'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes analytics capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. As model capabilities and usage grow, you'll also drive how we scale review through automation — building systems where Claude meaningfully extends what human reviewers can do, while keeping people in the loop where their judgment matters most. These are internal tools, but they are anything but low-stakes: the speed, clarity, and reliability of this tooling directly determines how quickly Anthropic can identify harmful behavior, make sound enforcement decisions, and feed signal back into model training. You'll partner closely with policy, operations, data science, legal, and privacy teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities - Build investigation, review, and enforcement tooling for both first-party and third-party platform surfaces — including case queues, investigation views, decision and audit logging, and account-actioning workflows - Develop the platform layer of reusable APIs, data storage, and backend services that lets new review workflows be stood up quickly and safely - Scale review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows - Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems that measurably reduce handling time and decision error - Build in the guardrails that sensitive internal tools require: granular permissions, audit trails, data-access controls, and reviewer wellbeing features such as content obfuscation and exposure limits - Instrument the tools you ship — surfacing metrics on queue health, reviewer throughput, and decision quality — and ensure tooling evolves alongside new privacy primitives and data retention commitments Minimum qualifications - A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions - Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably - Experience working cross-func
Platform Hardware Security
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're seeking a Platform Hardware Security Engineer to design and implement security architectures for bare-metal infrastructure. You'll work with teams across Anthropic to build firmware, bootloaders, operating systems, and attestation systems to ensure the integrity of our infrastructure from the ground up. This role requires expertise in low-level systems security and the ability to architect solutions that balance security requirements with the performance demands of training AI models across our massive fleet. Key responsibilities - Design and implement secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers) - Architect attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer - Develop measured boot implementations and runtime integrity monitoring - Create reference architectures and security requirements for bare-metal deployments - Integrate security controls with infrastructure teams without impacting training performance - Prototype and validate security mechanisms before production deployment - Conduct firmware vulnerability assessments and penetration testing - Build firmware analysis pipelines for continuous security monitoring - Document security architectures and maintain threat models - Collaborate with software and hardware vendors to ensure security capabilities meet our requirements Minimum qualifications - Hands-on experience with secure boot, measured boot, and attestation technologies (TPM, Intel TXT, AMD SEV, ARM TrustZone) - Strong understanding of cryptographic protocols and hardware security modules - Experience with UEFI/BIOS or embedded firmware security, bootloader hardening, and chain of trust implementation - Proficiency in low-level programming (C, Rust, Assembly) and systems programming - Knowledge of firmware vulnerability assessment and threat modeling - Track record of designing security architectures for complex, distributed systems - Experience with supply chain security - Ability to work effectively across hardware and software boundaries - Knowledge of NIST firmware security guidelines and hardware security frameworks Preferred qualifications - 8+ years of experience in systems security, with at least 5 years focused on firmware and hardware security (firmware, bootloaders, and OS-level security) - Experience with confidential computing technologies and hardware-based TEEs - Knowledge of SLSA framework and software supply chain security standards - Experience securing large-scale HPC or cloud infrastructure - Contributions to open-source security projects (coreboot, CHIPSEC, etc.) - Background in formal verification or security proof techniques - Experienc
Design Engineer, Education Labs
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 believe skill with AI is fundamental to human agency. Education Labs builds the paradigms that help people become genuinely more capable—not just more engaged. This is a new kind of role: part researcher, part product builder, part interaction designer. You'll be the second technical builder on a small team studying how AI transforms human capability—and shipping features based on what we discover. You'll have significant creative license to define what "good" looks like, exploring new interaction patterns rather than optimizing existing ones. We're skeptical of tutorials, onboarding flows, and engagement metrics. We care about experiences that make users progressively more capable, curious, and empowered over time. This means integrating skill development into product design, using Claude itself as a capability-building partner, and measuring success by how users actually grow. You'll operate as a one-person technical shop: prototyping new ideas, establishing technical direction, and shipping production-quality features to millions of users. You'll need strong product instincts and clean interface design sensibilities, balanced with comfort in ambiguity and frontier thinking. Responsibilities: - Ship features that help users develop real skill with AI—measuring success by capability growth, not time-on-site - Architect end-to-end prototypes (front-end and back-end) that test new interaction paradigms, with particular attention to the front-of-the-frontend: motion, polish, and interaction feel - Define technical direction for the team—establish patterns others can follow - Build relationships across Product, Design, and Research to influence how skill development principles shape Anthropic's broader product strategy - Shape team strategy and roadmap—identify the highest-leverage opportunities and build conviction across stakeholders - Translate research insights about skill development and human-AI collaboration into shipped product through close collaboration with researchers - Document and share your work through clear writing, prototypes, and presentations that influence thinking across the organization You may be a good fit if you have: Strong full-stack engineering with design sensibility - 6+ years building and shipping web products, with deep expertise across the stack - Strong front-end craft: TypeScript/JavaScript, React, CSS—with an eye for interaction design, motion, and visual detail - Solid back-end and data pipeline experience: Python, API design, analytics infrastructure - A portfolio showcasing innovative interaction designs an
Machine Learning Fellow - Human Frontier Collectiv...
PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs. - HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. - Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply - Education: PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field. - Professional Background: 1-3+ years of experience as a Machine Learning Engineer or Data Scientist. - Skills: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow). Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain) is a plus. - Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration. Why Join the HFC? - Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research, while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology. - Join a Top-Tier Network: Collaborate with a global network of engineers and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. - Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. - Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not li
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