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Product Manager, Developer Productivity
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 Product Manager focused on Developer Productivity, you'll partner with Infrastructure, Inference, Research, and Product Engineering to build the systems that determine how thousands of engineers and researchers at Anthropic develop, build, test, and ship code—the foundation on which every model, evaluation, and product feature depends: - Partner with Developer Productivity engineering teams to own the end-to-end developer experience—from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the acceleration tooling that deeply integrates Claude into every engineer's workflow. - Your work directly impacts engineering velocity across the entire company: defining the abstractions for how code moves from idea to production, establishing the metrics that surface friction before it compounds, and making the trade-offs that keep a rapidly scaling engineering organization shipping with confidence. - You'll drive the evolution of our developer platform through a fundamental shift in how software gets built—as AI agents move from autocomplete to autonomous collaborators, the definition of "developer" is changing, and our tooling, governance, and workflows must change with it. You'll be defining what developer productivity means when a meaningful share of code is written, tested, and reviewed by Claude itself. - You will define and own the strategy and roadmap across build systems, CI/CD pipelines, developer environments, accelerator toolchain management (GPU, TPU, Trainium), and the AI-native acceleration layer that makes Anthropic the most productive place in the world to build frontier AI. Responsibilities: - Deeply understand the needs of internal customers across Research, Inference, Infrastructure, and Product—from researchers iterating on training code who need fast, reproducible builds to inference engineers managing compute-intensive toolchains with strict compatibility constraints. - Define and iterate on the developer experience model: the workflows, tooling primitives, and feedback loops that govern how engineers and AI agents collaborate on code—including how we measure productivity when the unit of work is no longer a human typing. - Partner with engineering leads to design build, CI, and test infrastructure that scales non-linearly with engineering headcount—ensuring that as Claude takes on more of the inner loop, the outer loop (review, validation, deployment) doesn't become the new bottleneck. - Drive product strategy and roadmap for developer acceleration, including AI-assisted code review, agent-driven test generation, automated dependency management, and the governance frameworks that let teams safely delegate work to autonomous systems. - Own the trade-off framework between velocity, reliability, security, and cost—making transparent prioritization decisions about where to invest in human workflows versus agent workflows, and communicating them clearly to senior leadership. - Establish and champion the productivity metrics that matter in an AI-native engineering org—moving beyond commits and cycle time to measures that capture human-agent collaboration effectiveness, toil eliminated, and time-to-confident-ship. - Build conviction about where developer tooling is headed on a 2–3 year horizon, and translate that into a roadmap that keeps Anthropic ahead of—not reacting to—the exponential curve of AI-assisted development. You may be a good fit if you have: - 7+ years of product management experience, with deep exposure to developer tooling, build systems, CI/CD, or platform infrastructure - Experience taking technical platform products from infancy to scale—you've built something from the ground up and grown it to serve demanding internal or external engineering customers - Track record of building platform products that balance the needs of multiple engineering personas—you're comfortable making prioritization trade-offs between velocity, reliability, and security, and communicating them clearly - Ability to internalize complex technical systems (build systems, monorepos, CI pipelines, accelerator toolchains) and translate that understanding into a comprehensive product vision - Fluent across functions—you're equally credible discussing build graph optimization with engineers, developer velocity economics with leadership, and AI-agent governance with security teams - A strong thesis on how AI will reshape software development—you've thought deeply about what changes when agents write, review, and ship meaningful portions of a codebase, and you're energized by defining the tooling for that world rather than waiting for it to arrive - Scrappy and resourceful—you do what it takes to get things done in a fast-moving environment Strong candidates may have: - Built or scaled developer productivity, build systems, or CI/CD platforms for large engineering organizations (e.g., Bazel, Buck, large-scale monorepos, or custom build infrastructure). - Experience defining and operationalizing engineering productivity metrics (DORA, SPACE, or custom frameworks)—and a point of view on how these metrics evolve when AI agents are in the loop. - Familiarity with accelerator toolchain ecosystems (CUDA/GPU, TPU, or AWS Neuron/Trainium) and the unique developer experience challenges of compute-intensive ML workloads. - Shipped AI-native developer tooling—code assistants, agent-based automation, or AI-integrated IDEs—and understand the governance, trust, and adoption challenges that come with it. - Scaled through hypergrowth in engineering-intensive environments (AI/ML, large-scale cloud infrastructure, or developer tools companies). - Experience with internal platform adoption—you know that the best internal tool is the one engineers actually use, and you've driven adoption through product quality rather than mandate. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $385,000 - $595,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Manager, Applied AI Engineering, Beneficial Deploy...
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: Biology is the area where scientific progress has perhaps the greatest potential to directly and unambiguously improve human life — and we believe powerful AI could meaningfully accelerate the rate of biological discovery, helping compress decades of progress into years. With Claude for Life Sciences , we're building tools that accelerate the work of scientists and drug developers across the full lifecycle, from early discovery through clinical translation and regulatory review. As the Applied AI Engineering Manager for Life Sciences, you'll lead the team of engineers who turn that ambition into deployed reality inside the world's leading scientific organizations. Our Applied AI Engineers are the technical front line: they sit with customers, understand their scientific and regulatory workflows in depth, and build the prototypes, integrations, and agents that let Claude do meaningful work in the lab and the clinic. You'll grow and lead this team, own the technical success of our most strategic life sciences accounts, those ties to advancing our strategy and mission, and create the feedback loop that turns what we learn in the field into better products and models. This is more than wiring up a chatbot. As our own research has shown, the hard part of putting agents to work in biology is the infrastructure beneath them: messy databases, idiosyncratic file formats, scattered APIs, and metadata conventions where a single wrong or missing record can change a scientific conclusion. Your team builds the deterministic tools, connectors, and evaluations that make biological data reliably accessible to agents — and holds the work to a research-grade bar, where an answer has to be correct, reproducible, and auditable, not just plausible. This is a hands-on leadership role. You'll coach engineers and raise the bar on their work, stay close enough to the technology to review prototypes and contribute directly, and partner across go-to-market, product, and research. Because this work sits in a sensitive, dual-use domain, you'll also help set the standard for how we deploy responsibly — enabling legitimate science while taking safety seriously. In this role, you will: - Build and lead the team: hire, coach, and develop a team of Applied AI Engineers dedicated to strategic life sciences partners, setting a high technical bar and helping each engineer grow. - Own technical success with partners: be accountable for the technical outcomes of our strategic pharma and biotech deployments, from first scoping conversation through production. - Stay hands-on: review and contribute to prototypes, MCP integrations, agentic workflows, and Claude Code for Bio solutions; help the team get unblocked on the hardest technical problems. - Build agent-ready scientific infrastructure: guide the team in creating the deterministic tools, connectors/harnesses, and evaluations that make messy biological data and workflows reliably accessible to Claude — in partnership with scientists and research institutions. - Translate the field into the roadmap: partner cross functionally to turn what you learn from deployments into improvements in Anthropic's life sciences products and models. - Set the standard for responsible deployment: work alongside our safety teams to enable beneficial scientific work while guarding against misuse in a dual-use domain. - Build for the frontier : use deep knowledge of frontier model intelligence coupled to your work in R&D and research to rapidly progress toward solutions to meaningful problems in life sciences. You may be a good fit if you: - Have led or technically mentored software/ML engineers, ideally in a forward-deployed, solutions, or customer-facing engineering setting. - Have a background in pharma, biotech, computational biology, bioinformatics, or clinical/regulatory affairs. - Have a strong hands-on engineering background and are comfortable reading and writing production code, not just managing those who do. - Have delivered technical work directly with external customers or partners, and can communicate credibly with both technical experts and executives. - Have built on top of large language models or agents - Are energized by an unfamiliar technical domain and have a track record of going deep fast. - Hold a high bar for reliability and reproducibility, and understand why a plausible-looking answer that's subtly wrong can be worse than no answer in scientific work. - Have built tooling, data infrastructure, evals, or agent harnesses that turn messy real-world data into something usable and trustworthy — especially welcome if in a scientific or research setting. - Care deeply about the safe and beneficial deployment of AI, especially in sensitive domains. Strong candidates may also have: - Experience deploying LLM or agent systems in regulated or enterprise environments. - Experience building MCP servers, developer tooling, or scientific computing pipelines. - Experience scaling a customer-facing technical team through a period of rapid growth. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Lead Data Scientist, Platform Product
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 part of our growing Data Science and Analytics team, you will play a key role in Anthropic's mission of building safe and beneficial AI by driving data-informed decision-making across the organization. You'll be embedded with teams supporting our Developer Platform — the infrastructure that enables developers and enterprise customers to build on Claude via our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. In this role, you'll partner closely with product, engineering, and go-to-market teams to understand how AI agents are being built and deployed at scale. You'll identify growth opportunities, surface insights about platform adoption, and drive data-informed decisions that shape our platform roadmap. You'll also help establish the analytical foundations and best practices of a data science team that is still defining itself — bringing rigor and clarity to a fast-moving environment. Key responsibilities - Define key metrics, build measurement frameworks, and maintain core reporting to evaluate platform success - Conduct deep dives into product and usage data to surface actionable insights, size opportunities, and influence roadmaps across product, engineering, and go-to-market teams - Develop hypotheses and apply rigorous causal inference methods — including controlled experiments and synthetic controls — to evaluate platform changes and make actionable recommendations - Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions - Build statistical models, optimization frameworks, and simulations to support and automate operational and decision-making processes - Present complex analyses and recommendations clearly to both technical and non-technical stakeholders - Help establish foundational data practices and scale analytics infrastructure to support rapid iteration as the platform grows Minimum qualifications - Proficiency in Python, SQL, and data visualization tools - Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments - Experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy - Effective written communication and presentation skills, with the ability to translate complex analyses into clear, actionable recommendations for both technical and business audiences Preferred qualifications - 6+ years of experience in data science or analytics roles - Experience supporting B2B sales teams with data insights - Strong instincts for what drives product adoption, engagement, and retention in developer or enterprise contexts - Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem - Comfort operating in ambiguous, fast-moving environments where creating clarity is part of the role - A genuine interest in Anthropic's mission of building safe and beneficial AI The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of ANZ, Applied AI
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 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 the founding leader of Applied AI Solutions Architecture in ANZ, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Australian and New Zealand enterprises and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety. You'll be responsible for building and leading the ANZ Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across Australia and New Zealand. In collaboration with the Sales, Product, and Engineering teams globally and locally, you'll help enterprise partners across ANZ incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities - Build and manage the foundational team of Applied AI professionals in ANZ (Solutions Architects and Product Engineers) providing both technical guidance and career development - Set goals and reviews for your team, promoting growth and output - Work with a handful of highest-value enterprise customers across Australia and New Zealand on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution - Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for ANZ enterprise customers - Contribute to thought leadership through conference presentations, webinars, and technical content creation within the ANZ market - Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products - Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes - Travel regularly to customer sites across Australia and New Zealand for executive-level sessions, technical workshops, and building relationships - Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products - Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities - Stay current with emerging AI/ML trends and competitive landscape in the ANZ enterprise tech sector, including the region's highly regulated industries (financial services, government, resources) You may be a good fit if you have - 15+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role - 5+ years of technical go-to-market management experience, specifically managing pre-sales teams - Experience working with ANZ enterprise customers and understanding local business culture, procurement processes, and decision-making dynamics across Australia and New Zealand - Familiarity with the ANZ regulatory landscape (e.g., Australian Privacy Principles, APRA CPS 234, data sovereignty requirements) and how it impacts enterprise AI deployments - Experience with the unique technical requirements and technical procurement process of enterprise tech companies - Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases - Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment - Have excellent communication, collaboration, and coaching abilities - Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry - Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams - Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general - Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems - Make ambiguous problems clear and identify core principles that can translate across scenarios - Have a passion for making powerful technology safe and societally beneficial - Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks - Stay up-to-date and informed by taking an active interest in emerging research and industry trends - Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Full-Stack Software Engineer, Reinforcement Learni...
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 Full-Stack Software Engineer in RL, you'll build the platforms, tools, and interfaces that power environment creation, data collection, and training observability. The quality of Claude's next generation depends on the quality of the data we train it on — and the systems you build are what make that data possible. You'll own product surfaces end-to-end — from backend services and APIs to the web UIs that researchers, external vendors, and thousands of data labelers use every day. You don't need a background in ML research. What matters is that you can take an ambiguous, high-stakes problem and ship a polished, reliable product against it, fast. This team moves very quickly. Claude writes a lot of the code we commit, which means the bottleneck isn't typing — it's judgment, taste, and the ability to react to what researchers need next. You'll iterate on data collection strategies to distill the knowledge of thousands of human experts around the world into our models, and you'll do it in a loop that closes in hours and days, not quarters or months. Anthropic's Reinforcement Learning organization leads the research and development that trains Claude to be capable, reliable, and safe. We've contributed to every Claude model, with significant impact on the autonomy and coding capabilities of our most advanced models. Our work spans teaching models to use computers effectively, advancing code generation through RL, pioneering fundamental RL research for large language models, and building the scalable training methodologies behind our frontier production models. The RL org is organized around four goals: solving the science of long-horizon tasks and continual learning, scaling RL data and environments to be comprehensive and diverse, automating software engineering end-to-end, and training the frontier production model. Our engineering teams build the environments, evaluation systems, data pipelines, and tooling that make all of this possible — from realistic agentic training environments and scalable code data generation to human data collection platforms and production training operations. What You'll Do - Build and extend web platforms for RL environment creation, management, and quality review — including environment configuration, versioning, and validation workflows - Develop vendor-facing interfaces and tooling that let external partners create, submit, and iterate on training environments with minimal friction - Design and implement platforms for human data collection at scale, including labeling workflows, quality assurance systems, and feedback mechanisms that surface reward signal integrity issues early - Build evaluation dashboards and observability UIs that give researchers real-time insight into environment quality, training run health, and reward hacking - Create backend services and APIs that connect environment authoring tools, data collection systems, and RL training infrastructure - Build and expand scalable code data generation pipelines, producing diverse programming tasks with robust reward signals across languages and difficulty levels - Develop onboarding automation and documentation tooling so new vendors and internal users ramp up in hours, not weeks - Partner closely with RL researchers, data operations, and vendor management to translate ambiguous requirements into well-scoped, well-designed products You May Be a Good Fit If You - Have strong software engineering fundamentals and real full-stack range — you're comfortable owning a surface from database schema to frontend - Are proficient in Python and a modern web stack (React, TypeScript, or similar) - Have a track record of shipping systems that solved a hard problem , not just shipped on time — e.g. you built the thing that made your team 10x faster, or the internal tool nobody thought was possible - Operate with high agency: you identify what needs to be done and drive it forward without waiting for a ticket - Have found yourself wondering "why isn't this moving faster?" in previous roles — and then have done something about it - Care about UX and can build interfaces that are intuitive for both technical researchers and non-technical labelers - Communicate clearly with researchers, operations teams, and engineers, and can turn vague asks into well-scoped work - Thrive in a fast-moving environment where priorities shift, Claude is your pair programmer, and the next problem is often one nobody has solved before - Care about Anthropic's mission to build safe, beneficial AI and want your work to contribute directly to it Strong Candidates May Also Have - Built data collection, labeling, or annotation platforms — ideally ones that had to scale across many vendors or many task types - Background building multi-tenant platforms with role-based access, audit trails, and vendor management workflows - Experience with cloud infrastructure (GCP or AWS), Docker, and CI/CD pipelines - Familiarity with LLM training, fine-tuning, or evaluation workflows - Experience with async Python (Trio, asyncio) or high-throughput API design - Background in dashboards, monitoring, or observability tooling - Experience working directly with external vendors or partners on technical integrations - A background that isn't a straight line — e.g. math or physics into SWE, competitive programming, research into engineering, or a side project that outgrew its scope Representative Projects - Building a unified platform for human data collection that integrates labeling workflows, vendor management, and QA for complex agentic tasks - Developing vendor onboarding automation that handles Docker registry access, API token management, and environment validation - Creating evaluation and observability dashboards that catch reward hacks, measure environment difficulty, and give real-time feedback during production training - Building environment quality review workflows that let researchers browse, grade, and provide feedback on training environments - Developing automated environment quality pipelines that validate correctness and difficulty calibration before environments hit production training - Building internal tools for browsing and analyzing training run results, environment statistics, and data collection progress The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Data Scientist, Supply
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 Anthropic Anthropic is an AI safety and research company. We build reliable, interpretable, and steerable AI systems, and we believe AI will have a vast impact on the world — our goal is to ensure that impact is positive. About the role Anthropic is compute-constrained, and how we allocate that compute is one of the highest-leverage decisions we make as a company. Today, allocation choices are only loosely tied to the user outcomes we ultimately care about — retention, lifetime value, and the experience of people relying on Claude. This role exists to change that by addressing two intertwined problems at the heart of how we allocate compute. The first is an allocation problem: matching a volatile, heterogeneous stream of demand to a finite, heterogeneous fleet of chips. Which models run on which hardware, in which regions, under what serving configurations — with demand shifting and capacity bounded — is a problem the team navigates continuously today, with more intuition than rigor. You will bring structure to it: building the metrics and analytical frameworks that make the trade-offs legible, and partnering with the infrastructure teams that own these systems to turn that understanding into better decisions. The second is a causal-inference problem: there are many levers — rate limits, pricing, cache behavior, capacity shifts, routing changes — and only a partial picture of what pulling each one actually does to the users on the other end. You will build the causal understanding that closes that gap, choosing whatever approach the question calls for, so allocation decisions are made on expected user impact rather than intuition. This role is a fit for someone who thinks natively in terms of constrained allocation and queueing, who treats "what would happen if we changed X" as an identification problem rather than a dashboard query, and who wants their work to translate into operational and productionized change. You will work closely with the infrastructure engineers who run our compute, and your findings will be presented to senior leadership. Key responsibilities - Build and run testing frameworks — observational and synthetic — to quantify how different inputs affect compute allocation outcomes - Connect compute allocation decisions to downstream user outcomes (retention, lifetime value, revenue) - Partner closely with infrastructure engineers, product, and research to instrument systems, measure what matters, and ship operational changes - Develop the metric hierarchies, dashboards, and reporting that turn supply decisions into shared understanding across the company - Contribute analyses and recommendations to executive forums, and co-author the supply narrative shared with the CTO and staff Minimum qualifications - Strong technical individual-contributor background in data science, analytics, or operations research - Demonstrated comfort reasoning about resource allocation and trade-offs under constraints — drawn to systems problems, not just dashboards - Working fluency with causal inference — able to recognize when an effect needs to be identified, not just measured, and to choose an appropriate design - Deep proficiency with Python, SQL, and data visualization tools - Track record of owning analyses end-to-end and communicating results clearly to engineering and product leadership - Direct experience working closely with engineering teams on production systems - Alignment with Anthropic's mission of building helpful, honest, and harmless AI Preferred qualifications - 8+ years of hands-on data science experience - Significant technical individual-contributor experience in data science, analytics, or operations research at staff level scope - Experience with highly complex systems with many interacting components (ad networks, payment processing, marketplace matching, routing, etc.) - Hands-on operations-research depth: experience formulating and shipping real-time constrained-allocation, routing, or scheduling problems in production (LP/MILP, queueing, or RL-based control), with the ability to defend modeling choices - Causal-inference depth beyond off-the-shelf quasi-experimental templates — particularly methods for recovering long-term impact from short-horizon data: surrogate/proxy-outcome models, off-policy evaluation and counterfactual policy learning, or structural approaches, built rather than merely run - Experience contributing to or designing experimentation platforms, not just using them - Exposure to AI/ML products, large language models, or large-scale inference systems - Track record of setting technical direction across multiple workstreams or mentoring senior individual contributors without formal management responsibility Equal Opportunity Anthropic is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. We will also consider qualified applicants with criminal histories in accordance with applicable law (e.g., the San Francisco Fair Chance Ordinance, where applicable). The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Biological Safety Research Scientist
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for biological scientists to help build safety and oversight mechanisms for our AI systems. As a Safeguards Biological Safety Research Scientist, you will apply your technical skills to design and develop our safety systems which detect harmful behaviors and to prevent misuse by sophisticated threat actors. You will be at the forefront of defining what responsible AI safety looks like in the biological domain, working across research, policy, and engineering to translate complex biosecurity concepts into concrete technical safeguards. This is a unique opportunity to shape how frontier AI models handle dual-use biological knowledge—balancing the tremendous potential of AI to accelerate legitimate life sciences research while preventing misuse by sophisticated threat actors. In this role, you will: - Design and execute capability evaluations ("evals") to assess the capabilities of new models - Collaborate closely with internal and external threat modeling experts to develop training data for our safety systems, and with ML engineers to train these safety systems, optimizing for both robustness against adversarial attacks and low false-positive rates for legitimate researchers - Analyze safety system performance in traffic, identifying gaps and proposing improvements - Develop rigorous stress-testing of our safeguards against evolving threats and product surfaces - Partner with Research, Product, and Policy teams to ensure biological safety is embedded throughout the model development lifecycle - Contribute to external communications, including model cards, blog posts, and policy documents related to biological safety - Monitor emerging technologies for their potential to contribute to new risks and new mitigation strategies, and strategically address these You may be a good fit if you have - A PhD in molecular biology, virology, microbiology, biochemistry, systems or computational biology, or a related life sciences field, OR equivalent professional experience - Extensive experience in scientific computing and data analysis, with proficiency in programming (Python preferred) - Deep expertise in modern biology, including both "reading" (e.g. high-throughput measurement, functional assays) and "writing" (gene synthesis, genome editing, strain construction, protein engineering) techniques in biology - Familiarity with dual-use research concerns, select agent regulations, and biosecurity frameworks (e.g., Biological Weapons Convention, Australia Group guidelines) - Strong analytical and writing skills, with the ability to navigate ambiguity and explain complex technical concepts to non-technical stakeholders - Have a passion for learning new skills and an ability to rapidly adapt to changing techniques and technologies - Comfort working in a fast-paced environment where priorities may shift as AI capabilities evolve Preferred Qualifications - Background in AI/ML systems, particularly experience with large language models - Experience in developing ML for biological systems - Extensive experience in complex projects with multiple stakeholders The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Applied AI Architect Lead, EMEA Commercial
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. Applied AI Architect Lead, EMEA Commercial About the Role As the Lead of the Commercial Applied AI Architect team for EMEA, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and the API) across commercial accounts throughout Europe: companies with fewer than 2,500 employees spanning digital-native businesses, traditional industry verticals, and private equity portfolio companies. Based in our Dublin office, you will leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety. This is a player-coach role: you will personally own the technical win on a set of accounts while leading a team of 3 to 5 Applied AI Architects across Dublin and London. You'll establish the processes and best practices that let a lean team cover a high-velocity segment alongside a larger Dublin-based sales organisation, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across the region. In collaboration with Sales, Product, and Engineering teams, you'll help commercial customers across Europe's diverse markets incorporate leading-edge AI systems into both internal business transformation initiatives and customer-facing products. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike, across multiple countries, languages, and regulatory environments. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities - Hire, manage, and mentor a team of Applied AI Architects across Dublin and London, providing both technical guidance and career development - Set goals and reviews for your team, promoting growth and output - Personally own the technical win on a handful of highest-value commercial customers, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution - Partner closely with the Dublin-based Commercial sales leadership to co-build go-to-market strategies and run the qualification and coverage model that drive adoption across the segment's diverse verticals and European markets - Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates customer ROI from Anthropic products - Develop scalable technical engagement frameworks and reusable assets that can be adapted across digital-native, traditional industry, and PE portfolio company contexts, localised for different European markets and regulatory requirements - Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organisation to drive business outcomes - Travel across Europe to customer sites for executive-level sessions, technical workshops, and relationship building - Establish a shared vision for creating solutions that enable beneficial and safe AI - Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities - Contribute to thought leadership through conference presentations, webinars, and technical content creation - Stay current with emerging AI/ML trends and the competitive landscape across the European commercial segment You may be a good fit if you have: - 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role - 2+ years leading pre-sales practitioners as a manager, team lead, or player-coach, including hiring and developing technical talent - Experience working with and selling to commercial or mid-market customers across multiple European markets, and managing a distributed, multi-lingual team across locations - Experience supporting both internal enterprise use cases (productivity, workflow transformation) and product-building use cases (API/platform integration) - Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases - Demonstrated ability to build scalable, repeatable processes and frameworks that work across diverse customer segments and where technical resources are lean relative to sales - An organisational mindset and enjoy building foundational teams in a relatively unstructured environment - Excellent communication, collaboration, and coaching abilities - Comfort dealing with highly uncertain, ambiguous, and fast-moving environments - Strong executive presence and the ability to foster deep relationships with technical leaders and engineering teams - At least a high-level familiarity with the architecture and operation of large language models and/or ML in general - Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems - Ability to make ambiguous problems clear and identify core principles that translate across scenarios - A passion for making powerful technology safe and societally beneficial - Creative thinking about the risks and benefits of new technologies, beyond past checklists and playbooks - Stay up-to-date and informed by taking an active interest in emerging research and industry trends Strong candidates may also have: - Previous experience leading solutions architect or pre-sales teams through rapid growth, or operating as a player-coach while building out a new function - Fluency in an additional European language (e.g. French, German, Spanish, or Italian) - Experience with private equity portfolio companies or an understanding of PE-backed business dynamics - A track record building technical playbooks and assets that scale across diverse customer segments - Understanding of both digital-native technical requirements (API integration, developer experience) and traditional enterprise needs (security, compliance, change management) - Familiarity with EU AI regulations such as GDPR and the EU AI Act The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €215.000 - €260.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff Product Manager, Agentic Platform
Role: Scale is at the forefront of the AI revolution, working across the US government, partners and allies around the world to unlock the potential of generative AI (GenAI). We are seeking a product leader to join our team and play a pivotal role in building Agentic AI platforms to support national-level decisions, including for some of the nation’s most important national security challenges. The ideal candidate will have a strong understanding of product leadership, software engineering principles practices and deep experience with ML/AI application development, coupled with proven experience in managing complex projects with multiple stakeholder or AI-related projects within a government or highly regulated setting, emphasizing ethical AI deployment and robust risk management practices. This role requires a strategic leader adept at navigating the complexities of government GenAI projects, ensuring Scale’s public sector AI solution aligns with agency objectives and adheres to stringent security and compliance mandates. The product manager will be responsible for the entire lifecycle of the generative AI platform, including product design, cross-program execution, capability prioritization, stakeholder engagement with various government entities, defining and managing engineering scope, developing detailed project plans, and overseeing resource allocation and budget management. A key focus will be on ensuring that Scale’s public sector AI solution operates securely within controlled network environments, and is configured properly to support government workflows, specifically those that relate to national defense. Some examples of GenAI applications we build are: - Agentic warfare and scenario planning - Indications and warnings integration for the protection of critical continental level assets - Deep research capability that can help evaluate thousands of pages of classified information - Report generation for multiple customized report templates - Text2SQL intelligence applications to make analysts more efficient and embed a culture of data-driven decision-making You will: - Develop enterprise grade solutions that leverage cutting edge AI and AI agents to drive value for public sector customers - Work with executives at Scale and our customers to determine and execute the product strategy of the business. - Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches - Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance. - Develop a point of view and execute on turning the solutions we build into scalable software that we can commercialize across the industry - Maintain a Top Secret security clearance Ideally you'd have: - Technical degree in computer science, engineering, or equivalent experience - 4+ years of experience in building ML-powered and / or enterprise-facing products - Strong understanding of generative AI technologies and their applications in public or large-scale private sector settings - Experience operating in a fast-paced environment with high ambiguity - Exceptional leadership, presentation, and communication skills with the ability to influence cross-functional teams - Data literacy and experience with data analytics - Prior military or government experience - Coding experience (e.g. Python) Nice to haves: - Experience building infrastructure and tooling to develop and support agentic applications. - Experience working in startup environments building solutions for public sector / federal customers. - Understanding of public / federal networks, infrastructure, and deployment constraints. - TS/SCI Security Clearance Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $237,600 - $297,000 USD Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is: $213,400 - $267,300 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Software Engineer, Platform
Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: - Own large new areas within our product, driving features from design through production deployment. - Work across backend, frontend, and interacting with LLMs and ML models - Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components. - Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences. - Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers. - Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP. - Adapt quickly—learning new technologies, frameworks, and tools as needed across the stack. Ideally you'd have: - 4+ years of full-time engineering experience, post-graduation - Strong experience in Python or Javascript/Typescript - Experience scaling or shipping products at high-growth startups. - Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome). - Proficiency with SQL and modern API development. - Experience with Kubernetes, containerization, and microservice architectures. - Experience working with at least one major cloud provider (AWS, GCP, or Azure). PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Senior Engineering Manager, Defense
About Scale AI Scale's rapidly growing Global 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 national LLMs - Upskilling and advisory services to spread the impact of AI As these applications move from prototype to production, we're investing heavily in the infrastructure and people that keep them reliable, secure, and trusted by our government partners. 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 Role Overview We are looking for a highly technical and strategic Senior Manager, Defense Engineering to lead our engineering efforts across the Middle East region, specifically supporting defense-related projects. This senior leader will drive delivery of custom AI applications for defense and national security clients, bridging deep domain knowledge in the defense space with cutting-edge AI and full stack engineering expertise. What You'll Do - Manage and grow the engineering team in the region, driving technical delivery across defense and public sector engagements - Design, build, and optimize backend services for advanced AI-driven applications, with a strong focus on AI agents, evaluation tooling, and automation - Lead full stack engineering efforts end-to-end—from system design and architecture through to debugging, testing, and production deployment - Serve as the senior technical authority on defense-related projects, applying domain knowledge to ensure solutions meet mission-critical standards and security requirements - Architect and deploy AI agent frameworks and API integrations tailored to defense and government workflows - Work comfortably cross-functionally across internal engineering teams and external defense and government clients - Own the full product lifecycle from conceptualization through production, ensuring high-velocity delivery without sacrificing quality - Deliver experiments and MVPs at a high velocity and level of quality to drive engagement with defense customers - Influence the culture, values, and processes of a growing engineering team in the region - Inspire and mentor engineers, fostering a technically excellent and mission-driven team environment - Collaborate with cross-functional teams to define, design, and ship new product features and experiences tailored to defense requirements What We're Looking For - 10+ years of relevant software engineering experience, with a strong emphasis on backend systems and full stack development - 5+ years of experience managing and leading engineering teams, with a proven track record of developing high-performing teams in complex, mission-driven environments - Demonstrated domain knowledge in the defense sector—understanding of defense operations, national security priorities, and the regulatory and security requirements unique to defense - Deep expertise in AI and machine learning, specifically with AI agents, LLM-powered applications, and agentic frameworks - Hands-on experience designing, building, and integrating APIs in production environments (cloud and on-premises), including experience with AI/ML APIs and third-party defense or government platform integrations - Full stack engineering proficiency—comfortable across the entire stack including backend services, APIs, data pipelines, and frontend delivery - Proven success leading, managing, and developing high-performing Engineering teams at scale - Expertise in identifying product engagement patterns and trends for large-scale applications, ideally in government or defense contexts - Track record of shipping high-quality products and features at scale in fast-paced, high-stakes environments - Ability to turn complex defense business and mission requirements into pragmatic, scalable engineering solutions - Excellent problem-solving skills, and ability to work independently and as part of a cross-functional, international team - Experience working in or with the Gulf Cooperation Council (GCC) region is strongly preferred; Arabic language skills a plus PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Director of AI, Dating Outcomes
Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Most consumer apps treat your attention as the product, optimizing every recommendation and notification to keep you scrolling. Hinge made the opposite bet: our mission is to get people off the app, out on a date, and eventually to delete us entirely. That is not a tagline. It is the actual constraint every AI system we build has to solve against. The Director of AI, Dating Outcomes owns the hardest version of that problem. You will lead the AI systems at the core of how Hinge connects people: the recommendation engine, the ranking models, and the generative capabilities that help users put their best selves forward. The goal is not engagement, it is outcomes: fewer ratings per exchange, higher quality matches, and more people finding the person they were looking for. Because Hinge does not sell ads or user data, being exceptional at this is our business model. Reporting to the VP of AI, you will set the long-term AI roadmap for one of the company's most influential product areas and build the teams that bring it to life. The problems sit at the intersection of human behavior, sparse real-world signals, and a two-sided ecosystem of people who are not interchangeable, a different kind of ML challenge than most people in this industry have had the chance to work on. As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. Hinge Responsibilities Strategy and Vision: Own the AI strategy for dating recommendations across the full journey, from first candidate to last date. Build the frameworks to reason rigorously through ecosystem tradeoffs where a win for one cohort reshapes another, and set a vision ambitious enough that the org wants to chase it. Cross-Functional and Industry Leadership: Partner closely with other product groups to integrate AI capabilities across the product and shape roadmap decisions you do not own. Communicate honestly with executive leadership on strategy, tradeoffs, and progress. Own budget and investment strategy for the area, and represent Hinge externally through writing, talks, and community. Technical Leadership: Steer real-time, personalized recommendation systems that reduce ratings per exchange and drive better matches. Bring Generative AI to dating outcomes in ways that are differentiated, authentic, and grounded in how people actually connect. Responsible AI: Hold the bar on scalability, resilience, and rigorous evaluation for both performance and bias. Team and Organizational Development: Structure and scale the team for both deep execution and long-horizon bets. Develop emerging leaders, invest in succession across IC and leadership tracks, and build a culture where rigor, inclusion, and performance reinforce one another. Execution Excellence: Drive predictable delivery, balancing urgent risk response with long-term platform investments. Establish scalable operating rhythms for planning, technical reviews, and incident learnings. What We're Looking For 10 or more years across data science, applied ML, and software engineering, with 6 or more years in AI or engineering leadership defining strategy, not just managing execution. A track record of leading real-time, personalized recommendation systems in production, including the relevance, fairness, and scale tradeoffs that carry real consequences. Demonstrated success scaling ML or AI teams and developing technical leaders who carry the work over years, not a single launch. Deep technical fluency across ML, RL, Generative AI, and MLOps, with the communication skills and executive presence to represent AI strategy at the highest levels of the organization. A degree in Computer Science, Machine Learning, or a related quantitative field. A PhD is a plus, not a requirement. What Will Set You Apart Experience building AI systems in a two-sided or constrained marketplace, where optimizing for one group shifts outcomes for another and the right answer is rarely obvious. A history of deploying Generative AI thoughtfully in user-facing experiences, not as a trend to follow. External presence through publishing, speaking, or community contribution that reflects genuine intellectual engagement with the field. Prior work in a domain where user outcomes are high-stakes and hard to measure, whether health, education, finance, or something comparably consequential.
Staff Applied Scientist - AI Evaluation & Trust
About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv. POSITION DESCRIPTION Sayari builds AI systems for high-consequence analytical work where being "wrong" carries real-world weight. We are looking for a Staff Applied Scientist to join our AI Innovation Group as the trusted expert on AI Evaluation and Trust. You will own the "Judgment Layer" of our system: building the specialized judge models, statistical benchmarks, and multi-turn frameworks that ensure our agents act with the high bar of trustworthiness required by our national security and enterprise customers. JOB RESPONSIBILITIES Lead the development of specialized "judge models," moving from general-purpose frontier models to architectures purpose-built for evaluation and failure mode detection. Design and execute rigorous scoring pipelines and empirical threshold calibrations for agentic systems, including multi-turn conversation and Graph RAG reasoning. Establish domain-specific evaluation frameworks that measure whether a system can perform the work of human experts rather than just passing general capability benchmarks. Own the full lifecycle of evaluation data, from designing annotation infrastructure and protocols to deploying evaluation services into production. Research and implement advanced techniques in Mixture-of-Experts (MoE) routing, expert specialization evaluation, and ensemble calibration. Collaborate cross-functionally with Product, Data Engineering, and the SVP of AI to translate complex statistical uncertainty into clear, actionable product signals. Act as a technical leader and "Scientific Conscience" within the AI pod, ensuring every AI-driven risk signal is backed by an empirical derivation story. SKILLS & EXPERIENCE Required: 10+ years of Machine Learning experience with a focus on Deep Neural Network activities, evaluating model performance & trust. 1-2+ years’ experience focused on post-training activities 1+ year experience creating benchmarks to evaluate LLMs Technical Mastery: Deep expertise in LLM-as-judge architectures, multi-turn evaluation, and Reinforcement Learning (RL/RLHF/RLAIF). Statistical Rigor: Mastery of statistics and experimental design, including significance testing, distribution analysis, and inter-rater reliability. Architectural Depth: Experience with Mixture-of-Experts (MoE) systems, routing behavior, and expert specialization. Builder Mindset: Proven ability to own the path from data collection to production deployment; we are a small team and every role is "hands-on." Domain Fluency: Understanding of Graph RAG and the unique challenges of evaluating non-deterministic, agentic workflows. Preferred: Judgment Task Models: Experience building, fine-tuning (LoRA, etc.), or pre-training models specifically for judgment, preference modeling, or classification tasks. Domain Context: Background in cognitive science, intelligence community tradecraft, or research literature on expert judgment under uncertainty. Infrastructure at Scale: Experience building or managing large-scale annotation infrastructure and quality assurance protocols. Academic/Research Track Record: A record of published research or recognized work in preference modeling or AI alignment. The target base salary for this position is $195,000-$225,000 plus company bonus and equity. Final offer amounts are determined by multiple factors including location, local market variances, candidate experience and expertise, internal peer equity, and may vary from the amounts listed above. Benefits: 100% fully paid medical, vision, and dental for employees and their dependents Generous time off; we observe all US federal holidays, close our office for a winter break (12/24-12/31), in addition to granting 18 PTO days and 10 sick days Outstanding compensation package; competitive commissions for revenue roles and bonuses for non-revenue positions A strong commitment to diversity, equity, and inclusion Eligibility to participate in additional benefits such as 401k match up to 5%, 100% paid life insurance (up to $100,000 coverage),, and parental leave A collaborative and positive culture - your team will be as smart and driven as you Limitless growth and learning opportunities Sayari is an equal opportunity employer and strongly encourages diverse candidates to apply. We believe diversity and inclusion mean our team members should reflect the diversity of the United States. No employee or applicant will face discrimination or harassment based on race, color, ethnicity, religion, age, gender, gender identity or expression, sexual orientation, disability status, veteran status, genetics, or political affiliation. We strongly encourage applicants of all backgrounds to apply. Pay Range $195,000 - $225,000 USD
Engineering Manager, Safeguards Review Tooling
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 an Engineering Manager to lead 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: 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. You'll partner closely with policy, operations, data science, and legal teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities Lead, grow, and develop a team of engineers building investigation, review, and enforcement tooling for both first-party and third-party platform surfaces Define the vision and roadmap for our review tooling platform, including analytics, privacy-compatible data access primitives, and a sandbox for rapidly developing new review interfaces Drive the team's strategy for scaling 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 Ensure review tooling evolves alongside new privacy primitives and data retention commitments, so reviewers can do their work without compromising user trust Create clarity for the team and stakeholders in an ambiguous and evolving environment Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team Contribute to engineering-wide initiatives as a member of Anthropic's engineering management community Minimum qualifications Experience managing software engineering teams, including hiring, coaching, and developing engineers 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-functionally with non-engineering partners such as operations, policy, or legal teams Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders Care about the societal impacts of AI and want your work to make powerful systems safer Preferred qualifications 4+ years of management experience, 10+ years of industry software engineering experience Experience building trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale Experience designing systems under strict privacy, compliance, or data governance constraints, such as zero data retention environments Experience integrating LLMs or agentic systems into operational workflows, or building human-in-the-loop automation Experience building developer platforms or extensible tooling frameworks that other teams build on top of Experience supporting enforcement or moderation systems across multiple product surfaces, including enterprise or cloud platform contexts The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
AI/ML Engineer/Data Scientist / Public Trust secur...
Responsibilities Peraton is currently seeking to hire an experienced AI/ML Data Scientist to join our Federal Strategic Cyber program. Location: Warrenton, VA Position Description: Expertise and fluency in AI/ML techniques. Design, build, and maintain Extract, Transform, and Load (ETL) pipelines using industry best practices. Work with data management teams to design transform scripts in languages like Python to convert raw data to standardized data schemas. Implement and manage containerization strategies using OpenShift/Kubernetes. Collaborate with development teams to integrate CI/CD pipelines into the software development lifecycle. Monitor and optimize system performance, reliability, and availability. Automate infrastructure and application deployment processes. Ensure security best practices are implemented throughout all DevOps procedures. Troubleshoot and resolve issues in development, test, and production environments. Qualifications Required: Bachelor’s degree and a minimum of 8 years related technical experience required. An additional 4 years of experience may be substituted in lieu of a degree. Demonstrated fluency in AI/ML techniques. Proficiency in scripting and automation (Bash, Python, etc.). Strong understanding of containerization principles (Docker, Podman, etc.). Ability to work independently and collaboratively in a team environment. Experience interfacing with clients, technical support personnel, and other technical professionals to ensure efficient and effective service. U.S. Citizenship is required. Active Public Trust Clearance. Willingness and ability to travel 10-25%. Preferred: Experience with the Databricks Data and AI platform. Proven experience with OpenShift and Kubernetes in production environments. Experience with Openshift/Kubernetes and other container-based platforms. Experience implementing and utilizing AI models to explore and refine data. Experience training task specific AI models for normalization and alerting. Experience with SAFe Agile testing environments. Experience using OpenShift to run microservice architectures designed to manage scale of data transformation processes. Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure. Target Salary Range $104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
Sr. Staff Machine Learning Engineer - Data Lake, A...
About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate —we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession , collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for a Sr. Staff Software Engineer to join our team. This is a hybrid, based in San Jose, CA 3 days a week role, reporting to the Sr. Manager, Software Engineering in the Zscaler Digital Experience (Core Intelligence and Data) department. You will join the team responsible for building the world’s largest cloud security platform, helping us enhance services and increase our global footprint. You will play a pivotal role in enabling organizations worldwide to harness speed and agility through a cloud-first strategy, leveraging our multitenant architecture that serves over 15 million users. What you’ll do (Role Expectations) Own agentic troubleshooting framework, framing high-impact use cases, designing workflows and playbooks, and building processes for all products Evaluate and integrate state-of-the-art GenAI advances to deliver reliable and cost-efficient production features, utilizing LLMs, various machine learning models, data processing, fine-tuning, and inference optimization Work with the world class cloud platform and data lakes for feature exploration and generation Handle volume data with the real time pipeline for data processing and aggregation Design, implement, and operate scalable production systems, specifically focusing on microservices, data pipelines, orchestration, and caching Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain BS in Computer Science with 8+ years of experience, or MS/PhD with 5+ years of experience solving real-world problems using AI/ML and distributed systems Proficiency in programming, data structures, algorithms, and machine learning, with exceptional problem-solving skills driven by first-principles thinking Hand-on experience with AI modeling, including feature generation, prompt engineering, evaluations and productionization Experience in the full lifecycle of ML models (building, deployment, monitoring, optimization) alongside expertise in designing and operating distributed microservices using Kubernetes and Docker in Python, Go, or Java What Will Make You Stand Out (Preferred Qualifications) Experience designing and scaling autonomous AI agents, agentic orchestration workflows, and advanced large language model (LLM) tooling to automate complex cloud infrastructure troubleshooting or incident response Experience fine-tuning and deploying proprietary SLMs/LLMs at scale, with a focus on optimizing latency, cost, safety, and evaluations Experience delivering production-ready AI systems, including expertise in anomaly detection, event correlation, incident investigation, and resilient systems with well-defined service-level objectives LI-Hybrid LI-CM3 Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $157,500 - $225,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here . By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Senior Staff Machine Learning Engineer, Trust
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Everyone at Airbnb thinks about trust, but our team obsesses over it daily. At the core of trust is safety, and thus we spend a significant amount of our time and energy keeping the community safe. The Trust team is responsible for developing the technology that helps protect our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.). We also work on onboarding and screening of users, and think about complex topics like identity and reputation to ensure that every interaction with Airbnb helps build trust in us and our community. Trust Engineering is responsible for the technology vision and development of a complex stack that runs on every key interaction on the platform. Trust Engineering is at the forefront of AI and ML innovation, helping develop novel techniques and advancing the state-of-art in Machine Learning to continually build and maintain trust across our platform. The Difference You Will Make: As a senior technical individual contributor, you will partner closely with our leaders across the broader technical organization helping design, execute and deliver in a complex and collaborative roadmap of Trust engineering efforts that will require collaboration across many parts of the organization and many parts of Airbnb. Although you will be at one of our highest levels of seniority, all individual contributors at Airbnb are Software Engineers which means we expect you to be hands on and contribute code. A Typical day: Define and execute on the long-term ML technical vision and strategy for the Trust organization, identifying key investments, architecting scalable solutions, and championing best practices that advance the state-of-the-art in production ML systems. Serve as a technical leader and mentor to other ML and software engineers across the organization, providing guidance on complex architectural and modeling challenges, and raising the overall technical bar. Drive and deliver large-scale, multi-quarter ML initiatives that span multiple teams, influencing roadmaps and ensuring alignment between platform and product Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases. Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact. Work closely with other trust defense and platform teams to tackle the changing landscape of fraud attacks. Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases. Examples include: Anomaly detection models, ML models for continuous risk evaluation, Multimodality and Agentic AI Your Expertise: 12+ years of industry experience in applied Machine Learning 2-3+ years working with LLMs and novel GenAI technologies. Proficiency and proven experience on Agentic AI (frameworks, orchestration, architecture and productionization). A Bachelor’s, Master’s or PhD in CS/ML or related field Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. genAI, Agentic AI, natural language processing, computer vision, personalization and recommendation, anomaly detection) Experience with these technologies: AgenticAI, Tensorflow, PyTorch, Kubernetes, Industry experience building end-to-end Machine Learning and Agentic infrastructure and/or building and productionizing Machine Learning models Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models) Experience with test driven development, familiar with A/B testing, incremental delivery and deployment. Experience with the Trust and Risk domain is a plus. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com . Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $244,000 - $305,000 USD
Sr. Data Scientist, Trust and Safety
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. As we scale experiences in a complicated ecosystem, ensuring they are safe, fair, and trustworthy is paramount. We are looking for a Senior Data Scientist to help lead Pinterest's Trust and Safety mandate by designing the foundations for measuring the prevalence of unsafe content across the platform. In this role, you will design and build sampling frameworks, complex data aggregations, and measurement methodologies to track Trust & Safety policy violations across complex, multi-component user interactions. You will work in a highly collaborative and cross-functional environment, partnering with ML Engineers, Trust & Safety Ops, subject matter expert teams, and Product Managers. The results of your work will directly influence platform safety metrics, policy compliance, and executive-level visibility into platform health. What you'll do: Design and develop ML-assisted sampling techniques, applying expertise in statistical methods to accurately measure the prevalence of unsafe content, treating complex multi-component interactions as distinct measurement units. Apply rigorous statistical methods, drawing on knowledge of all kinds of sampling methods and their proper statistical application for complicated use cases, to calculate prevalence rates for specific Trust & Safety policy violations (e.g., Adult content, Self-harm, Harassment, Misinformation) and to further expand and improve the prevalence measurement. Build large-scale data pipelines to aggregate Pinner-generated queries, system responses, and recommended Pin images into a unified format for human and ML-based safety labeling. Partner cross-functionally to orchestrate "Offline" dashboards and robust "Online" production workflows for continuous safety monitoring. Collaborate closely with Trust & Safety teams to translate written safety policies into unified LLM prompts, coordinate BPO labeling queues, and calibrate labeler decision quality What we're looking for: 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data. Strong interest and hands-on experience in platform safety, prevalence measurement, adversarial testing, responsible data measurement, or Trust & Safety. Deep familiarity with the measurement challenges of a complex ecosystem, including statistical interpretation of data. Experience designing and calibrating measurement frameworks, managing complex logging tables (e.g., user/interaction/component data), and defining directional success metrics. Strong quantitative programming (Python) and data manipulation skills (SQL/Spark); experience with complex ML pipelines and up-sampling. Ability to drive ambiguous measurement projects end-to-end, overcoming unstructured policy dependencies with high ownership. Excellent written and verbal communication skills, with the ability to advocate for decision quality before releasing metrics to executive leadership. In - Office Requirement Statement We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement This position is not eligible for relocation assistance. LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $139,764 - $287,749 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
Software Engineer, Account Abuse
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 Account Abuse team is tasked with ensuring Anthropic’s computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build systems that gather and analyze signals at scale, balancing tradeoffs and coordinating closely with stakeholder teams throughout the company. The ideal candidate can see things from opponents’ perspectives, understand their means and motives, and anticipate their responses to countermeasures. Responsibilities: Ability to think and respond quickly in a rapidly-changing greenfield environment Jumping into other teams’ code to identify key points to gather signals or introduce interventions with minimal impact on their systems’ stability, complexity, or overall architecture Integration with third-party data-enrichment vendors Creating monitoring dashboards, alerts, and internal admin UX Working closely with our data scientists to maintain situational awareness of our current usage patterns and trends, and with our Policy & Enforcement team to maximize the impact of their human-review availability Building robust and reliable multi-layered defenses Lead root cause analyses and deep-dive investigations into account activity to identify abuse patterns, uncover emerging attack vectors, and inform both immediate enforcement actions and longer-term systemic defenses You may be a good fit if you have: A Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python, SQL, and data analysis tools. Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of industry software engineering experience (not including internships and co-ops), preferably with a focus on integrity, spam, fraud, or abuse detection. Have experience building trust and safety mechanisms for and using AI/ML systems, such as fraud-detection models or security monitoring tools or the infrastructure to support these systems at scale Have worked closely with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Threat Collections 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 Role We are looking for a Threat Collections Engineer to join our Threat Intelligence team. In this role, you will build the infrastructure that powers our threat discovery capabilities—integrating external data sources, developing detection systems for automated lead generation, and creating internal tooling that scales our investigators' impact. This is a foundational engineering role on a small, high-impact team. You will take projects from proof-of-concept to production, work closely with investigators to understand their needs, and help scale what may become a multi-person collections function. Responsibilities: Build automated detection systems that use disparate signals to identify abusive behavior. Take systems from idea to proof-of-concept to production-grade with appropriate monitoring, documentation, and maintenance processes Develop and maintain YARA rule infrastructure, including tools for writing, validating, and testing rules against real data Create integrations with external threat intelligence platforms (e.g. VirusTotal, Censys, Urlscan) via MCP servers to enable multi-source correlation during investigations Build data pipelines that ingest intelligence from RSS feeds, CTI news sources, and partner sharing, using Claude to extract TTPs and generate targeted hunting queries Develop behavioral analytics capabilities using DBT-based frameworks and create searchable audit logging infrastructure Establish feedback loops with investigators to tune detection systems and reduce false positives Scrape and normalize data from external sources to feed threat detection and enrichment workflows You may be a good fit if you: Have strong coding proficiency in Python and SQL for building detection logic, data pipelines, and automation Have experience with data pipeline orchestration tools (Airflow, DBT, or similar) Have familiarity with threat intelligence concepts including IOCs, YARA rules, and threat correlation techniques Have experience integrating external APIs and building data ingestion systems Can translate investigator needs and workflows into technical requirements Are comfortable building v0 systems and iterating based on user feedback Have strong communication skills for working closely with non-engineering stakeholders Strong candidates may also have: Experience with threat intelligence sharing frameworks (e.g. MISP, STIX/TAXII) Background in cyber threat intelligence, security operations, or abuse detection Experience building MCP servers or similar tool integrations for AI systems Familiarity with web scraping and data extraction at scale Experience with behavioral analytics or anomaly detection systems Understanding of LLM capabilities and how to leverage them for automation A Top Secret Clearance Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Applied ML Engineer – Quantum Systems (AI Software...
About Us: Anyon Systems is building the next generation of superconducting quantum computers. We design and operate full-stack quantum systems, from fabrication and cryogenics to control electronics, calibration, and software. What differentiates Anyon is execution speed, technical depth, and a relentless focus on making quantum hardware work in practice, not just on paper. Our Tel Aviv R&D center is a critical powerhouse driving Anyon Systems’ global quantum roadmap. Far from a traditional satellite office, this strategic hub owns the core pillars of our technology: quantum control, calibration, benchmarking, and AI-first automation. We deliberately anchored this team in Israel to leverage the ecosystem’s unmatched pedigree in deep-tech execution, defense-grade engineering, and rigorous applied research. As a member of this team, you will operate with complete autonomy and high agency, directly shaping the flagship products deployed to our customers worldwide. Role Overview: This role focuses on turning AI research into robust, production-grade systems that interact directly with quantum hardware. It is ideal for engineers who enjoy owning systems end-to end. Key Responsibilities: Implement hybrid AI systems combining learning and reasoning Build scalable data pipelines for experimental data Develop surrogate models with uncertainty estimation Optimize inference for real-time and hardware-in-the-loop use Collaborate across hardware, software, and AI teams Qualifications: Strong software engineering background (Python, Rust, or C++) Experience deploying ML systems in production Familiarity with probabilistic modeling or optimization What We Offer: A core technical role in a fast-growing quantum hardware company Direct access to real, state-of-the-art quantum processors High level of autonomy and technical ownership Collaboration with world-class experimental, theoretical, and AI teams across North America and Israel Competitive compensation aligned with senior deep-tech roles in Israel - Long-term equity participation Flexible work culture with strong emphasis on results, not bureaucracy - Opportunity to influence the technical direction of the company. Security / Defense Backgrounds : Candidates with backgrounds in defense, aerospace, intelligence, secure systems, RF, real-time systems, or classified R&D environments are strongly encouraged to apply. Experience operating complex systems under strict performance, reliability, and security constraints is highly valued.
Senior Quantum Engineer
About The Role and Team The Intelligent Automation Team develops the software that controls, and optimises our Quantum Processing Units. Working in close partnership with the Quantum Hardware Team, this group works to enable our processors to perform at their limits. Their work transforms raw quantum hardware into a usable platform by leveraging traditional software engineering alongside machine learning and other optimisation techniques. Together, these teams form the engine room of Quantum Motion’s technology, bridging physics, engineering, and computation to unlock the next generation of quantum capability. As a member of our evolving scale-up, you’ll help shape the next stage of quantum computing. We’re still a small team, which means your expertise will directly influence our technology, our culture, and our trajectory, while giving you room to grow as we scale. Our Team This role forms part of our investment in state-of-the art facilities in Maryland, US. It reflects our commitment to driving innovation and collaborating with some of the brightest minds in the quantum industry, and additionally taps into the strong semiconductor and cryogenic ecosystem. Our mission is global and this is a rare and exciting opportunity to join a team which is shaping the future of quantum computing. As part of our lean, high-impact and rapidly growing team, you will be working closely with our scientists, engineers and experts in a dynamic environment to make the site run smoothly and compliantly from day one, dedicated to contributing to the development of scalable quantum computers based on silicon technology. Functions of the Role Work with experimental experts to benchmark and optimise quantum processors based on spins in silicon quantum dots Develop automated calibration routines for long term maintenance of QPU performance Devise measurement and analysis roadmaps to test and optimise quantum operations Experience - Essentials PhD degree in physics, chemistry, or engineering Proven track record of leadership in dynamical characterisation and control of spin qubits in solid-state systems Experience in defining research goals and leading teams toward successful technical outcomes Familiar with the use of high-frequency electronics Knowledge of quantum information systems and operations Ability to independently design and carry out complex experiments; perform data analysis and preparation of technical reports and presentations Knowledge of data acquisition software (Python, Matlab) Ability to lead and motivate a team Exceptional ability to communicate complex technical strategies to stakeholders, write grant applications, and author technical reports Experience - Desirable Strong experience with machine learning techniques and their application to complex physical systems. Demonstrated capability in benchmarking quantum systems using methods such as randomised benchmarking and gate-set tomography. Proven team leadership and people-management skills, including supervising technical staff and guiding cross-functional research efforts. Experience mentoring junior researchers and effectively supervising research students to support their academic and professional development. Skilled in the simulation of spin-based quantum systems and the dynamical characterisation of silicon-based nanoelectronic devices. Hands-on experience operating and troubleshooting deep cryogenic measurement systems. Experience with the dynamical characterisation silicon-based nanoelectronic devices Ability to supervise research students Benefits Be part of a creative, world-leading team Competitive salary and share options scheme Region-specific benefits (e.g. Health Insurance) Choose your own laptop/kit Flexible working Located in Maryland College Park - a state-of-the-art quantum hub EEO Statement Quantum Motion is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, pregnancy, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
Backend Developer for AI & Quantum Computing (remo...
What we do The capabilities of current generation quantum devices are still quite underwhelming. They are slow and error-prone; and scientists spend an enormous amount of time just optimizing their setups. We are gathering the brightest minds to solve this! Join us on our journey to become the world’s leading scientific machine learning company. We work remotely, and meet physically once every 2 months for planning, brainstorming and shared meals. Why we need you You are expected to take co-ownership of the core library of our QruiseOS product and its integration with control electronics APIs and our QruiseML product. QruiseOS is an integrated environment allowing developers of Quantum Computers and other Quantum technologies to perform their daily tasks of characterizing, calibrating and monitoring their quantum devices, while giving direct insights on how these devices operate. Most of our software is written in Python. The broad portfolio of our offerings is built on the foundation of a high-fidelity differentiable numerical simulator of sophisticated quantum devices and precision microwave electronics, which works in close coordination with a variety of optimization processes. We are not only expanding our suite of classical and ML-assisted optimization algorithms but also scaling our simulator to efficiently utilize high-performance CPU and GPU clusters. These tools are developed for hybrid (on-premise + cloud-native) deployment from the ground up, so we need software engineers with a very broad background. Your profile At least 3-5 years of experience in backend/server-side development, preferably in Python is required. Experience in building cloud native tech stacks, preferably for AI/ML applications is preferred. Experience in docker, microservices and AWS is preferred. We make extensive use of modern agentic AI based development processes (claude code / codex / opencode) and expect you to be comfortable and proficient in using these tools. Experience in accelerated computing on CPU/GPU clusters is an added bonus. Experience in developing ML workflows and data lakes is useful but not required. A good intuition about automatic differentiation, optimization, numerical modelling and integration (esp. ODEs) is useful but not required. Since we are 100% remote, strong communication skills and regular knowledge sharing are a must. You must already reside or be willing to relocate near EU time-zones (CET±1). What we need for your application Your CV is a good start. But, what we’d really like to see is that you have a proven track record of projects and work in the relevant field. So if you can send us a link to your GitHub, recent projects or real-world examples of what you have done so far, that is what really interests us. Before a possible interview, please think about the following: What is something you accomplished which you are really proud of? What technological developments are you excited about? What are the things that you have taught yourself? What is something you would like to learn or improve in the near future? Perks & benefits 30 days of paid vacation a year Remote work by default Choose your own work computer Budget for home office equipment Flexible working hours Travel / Co-working space cost reimbursement Regular company-paid team-events
Research Scientist - Frontier AI/ML & Quantum Algo...
About Sygaldry Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. By integrating quantum and AI, we're accelerating the path to superintelligence, and addressing the problem of rising compute costs and energy bottlenecks. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications. We pioneer new domains in physics, engineering, and AI, tackling the hardest challenges with a grounded, optimistic, and rigorous culture. We're looking for individuals ready to define the intersection of quantum and AI and drive its profound global impact. About the Role Frontier AI is moving toward scientific reasoning and design: molecules, materials, proteins, weather, climate, dynamical systems, quantum devices, and controlled physical systems. These domains expose deep computational bottlenecks in sampling, probabilistic inference, optimization, simulation, uncertainty quantification, inverse design, planning, and control. Sygaldry is building quantum-accelerated AI systems for this next era. We are looking for a Research Scientist who can help define Quantum AI: not just quantum machine learning, but the broader study of how fault-tolerant quantum computation can transform the primitives of learning, inference, reasoning, prediction, geometry, and control. In this role, you will work at the intersection of frontier AI/ML, quantum algorithms, scientific machine learning, and hardware-software co-design. You will identify where quantum computation can provide genuine structural advantage for AI workloads, develop new theoretical and empirical frameworks, and translate research insights into systems that inform real quantum hardware and AI architecture decisions. What You'll Work On Frontier AI for Scientific Discovery Develop and study models for high-dimensional scientific prediction, generation, and design, including: Diffusion models, flow matching, consistency models, score-based generative models, energy-based models, latent-variable models, autoregressive models, and normalizing flows. Scientific foundation models for molecules, materials, proteins, quantum systems, weather, climate, PDEs, and dynamical systems. Graph neural networks, geometric deep learning, equivariant models, neural operators, tensor methods, manifold learning, and learning on structured state spaces. Models that combine prediction, uncertainty, active learning, and closed-loop design for scientific discovery. Learning, Inference, and Reasoning Build algorithms and theory for the computational primitives that matter most for next-generation AI systems: Probabilistic inference, Bayesian modeling, variational inference, Monte Carlo methods, simulation-based inference, uncertainty quantification, and calibration. Optimization, sampling, amortized inference, sequential decision-making, Bayesian experimental design, reinforcement learning, planning, and control. Scientific reasoning systems, model-guided discovery, algorithmic discovery, and agents that can propose, test, and refine hypotheses. Benchmarking frameworks that reveal when a new computational substrate changes scaling behavior, not just constant factors. Quantum Algorithms for AI Workloads Identify where quantum computation can accelerate or reshape AI-relevant subroutines, including: Quantum algorithms for sampling, integration, Monte Carlo acceleration, linear algebra, optimization, Hamiltonian simulation, quantum simulation, and tensor-structured computation. Fault-tolerant quantum algorithms, resource estimation, complexity analysis, block encoding, QSVT, LCU methods, amplitude estimation, phase estimation, and quantum walks. Hybrid quantum-classical workflows where quantum primitives are embedded inside classical AI pipelines. New quantum-native model classes, kernels, embeddings, generative processes, and inference procedures that are mathematically motivated rather than benchmark-driven alone. Hardware-Software Co-Design Collaborate closely with quantum architecture, systems, and hardware teams to connect AI workloads to real machine requirements: Translate AI and scientific-computing bottlenecks into quantum resource requirements. Design benchmarks that compare quantum, classical, and hybrid approaches under realistic assumptions. Inform architecture choices by identifying the algorithms, error budgets, and primitives that matter for future AI workloads. Build prototypes in Python/JAX/PyTorch and, when useful, quantum software frameworks such as PennyLane, Qiskit, Cirq, CUDA-Q, TensorCircuit, or custom simulators. You May Be a Good Fit If You Have a research record in machine learning, AI, statistics, physics, applied mathematics, computer science, quantum information, or a related field. Have deep expertise in at least two of the following: generative modeling, probabilistic inference, uncertainty quantification, geometric deep learning, graph neural networks, optimization, reinforcement learning/control, numerical methods, scientific machine learning, quantum algorithms, or quantum information. Have published research relevant to audiences at NeurIPS, ICML, ICLR, AISTATS, UAI, COLT, QIP, TQC, PRX Quantum, Nature, Science, or similar. Can move between theory and implementation: deriving algorithms, building prototypes, running careful experiments, and communicating results clearly. Are experienced with ML frameworks (PyTorch, JAX) and efficient inference implementation. Are excited to work with quantum hardware teams and help define what AI workloads should demand from future fault-tolerant quantum systems. Communicate complex ideas clearly across research communities Value rigor: you are comfortable asking where quantum computation can help, where it cannot, and what evidence would distinguish the two. Strong Candidates May Have Research experience in diffusion/flow models, energy-based models, probabilistic programming, Bayesian deep learning, neural SDEs/ODEs, simulation-based inference, or scalable Monte Carlo. Experience with AI for science: molecular design, protein design, drug discovery, materials discovery, weather or climate prediction, quantum chemistry, PDE modeling, dynamical systems, robotics, or control. Experience with graph/geometric learning, equivariant architectures, neural operators, tensor networks, manifold methods, or structured world models. Background in quantum algorithms, computational complexity, quantum simulation, quantum chemistry, fault tolerance, resource estimation, or quantum information theory. Experience with JAX, PyTorch, CUDA/Triton, distributed training/inference, differentiable simulation, or high-performance scientific computing. A track record of publishing, open-source software, or building research systems that influenced a field. How We’re Different At Sygaldry, curiosity and intellectual courage drive our work. We approach ambitious challenges with a grounded, optimistic, and rigorous culture and know that kind people build the strongest teams. We prioritize mission over ego and collaborate openly with a strong sense of shared purpose. We dream big, yet we execute with a love of detail. We’re looking for scientists, engineers, and operators to forge new paths with us at the intersection of quantum and AI. Culture & Benefits Visa Sponsorship - We know what it takes to make top talent thrive here. We’re open to supporting visas whenever possible. Compensation - We value your contribution and invest in your future with a competitive salary and meaningful equity. Benefits - Your well-being matters. We provide company-sponsored health coverage to give you and your family peace of mind. Connection - Whether it’s company offsite or casual crew socials, we make time to connect, recharge, and have fun together. Time Off - We trust you to take the time you need. Unlimited PTO so you can rest, recharge, and come back ready to make an impact. We encourage applications from candidates with diverse backgrounds. 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. We encourage you to apply even if you do not believe you meet every single qualification. If you don’t think this role is right for you, but you believe that you would have something meaningful to contribute to our mission, please reach out at letsbuild@sygaldry.com
Member of Technical Staff, Staff Physicist, Quantu...
About FirstPrinciples: FirstPrinciples is a non-profit organization building an autonomous AI Physicist to understand the nature of reality: the underlying structure, governing principles, and fundamental laws of our universe. We're developing an intelligent system that can explore theoretical frameworks, reason across disciplines, and generate novel insights to tackle the deepest unsolved problems in physics. By combining AI, symbolic reasoning, and autonomous research capabilities, we're developing a platform that goes beyond analyzing existing knowledge to actively contribute to physics research. Our goal is to accelerate progress on the questions that have captivated humanity for centuries. We operate as a global nonprofit organization , with a Canadian foundation, a US-based 501(c)(3). Job Description: We are looking for a Member of Technical Staff, Staff Physicist to help build an AI Physicist at the frontier of Quantum Information and AI. You will bring expertise in quantum information theory to help with training, evaluation methods, and set research direction for a rapidly evolving scientific system. This is a researcher role at the intersection of AI and physics: you will help invent new benchmarks, metrics, and evaluation methodologies for what it means to do high-quality research in Quantum Information with AI in the loop. You will work closely with research and engineering teams, and your contributions will flow straight into production model improvements and publishable outcomes. Key Responsibilities: Scientific Critique and Research Guidance: Review and critique model reasoning in quantum information and adjacent theory (eg; quantum error correction, cryptography, algorithms, etc). Identify subtle conceptual errors, missing assumptions, invalid proof steps, and “sounds right” failures. Provide clear corrections, alternative derivations, and minimal counterexamples that teach the system what good physics looks like. Translate domain judgment into actionable research recommendations for model behavior, reasoning style, and tool use. Create gold-standard demonstrations and reference solutions suitable for training and fine-tuning. Provide structured preferences and rankings over candidate model outputs to improve scientific reasoning quality using expert feedback loops. Collaborators Program and Cross Functional Coordination: Work to help us build our Collaborators program, an external group of expert peers acting like a set of reviewers. Coordinate review cycles and incorporate collaborator feedback into training priorities, benchmark design, and evaluation criteria. Align external reviewer standards with internal research goals and engineering constraints, ensuring fast iteration while maintaining scientific defensibility. Communicate progress and open questions clearly across collaborators, research, and engineering. Research Output and Publication: Help drive the system to produce outputs you would be proud to put your name on. Contribute to open-science artifacts where appropriate (benchmarks, datasets, technical reports, preprints). Qualifications: Educational Background : PhD in Physics, Quantum Information, Theoretical CS, or closely related field, plus postdoctoral-level research maturity. Experience : Demonstrated ability to do research-grade reasoning in quantum information and to critique proofs, derivations, and scientific arguments with rigor. Experience contributing to evaluation methodology, benchmarking, or systematic error analysis in research settings is strongly valued. Technical Skills : Deep fluency in core quantum information topics (Quantum algorithms, gate quantum computer, annealing quantum computers, quantum error correction, foundation of quantum physics, quantum information theory, quantum field theory). Strong mathematical foundations (linear algebra, probability, optimization, information-theoretic reasoning, differential equations, group theory, Lie Algebras, Hamiltonian and Lagrangian dynamics). Scientific programming skills in Python plus standard research tooling (Git, LaTeX). Working familiarity with modern ML training workflows and how expert feedback can be operationalized to improve model behavior. Collaboration & Communication : Comfort working closely with engineers and researchers in a fast-moving, cross-functional environment. Strong written communication, especially the ability to write precise critiques, crisp guidance, and benchmark specs that others can implement. Ability to coordinate external reviewers and internal teams toward a shared standard of scientific quality. Mindset : Entrepreneurial & mission-driven, comfortable in a fast-growing, startup-style environment, and motivated by the ambition of tackling one of the greatest scientific challenges in history. Bonus Skills: Experience at the intersection of quantum and machine learning. Familiarity with preference modeling, reward modeling, or building evaluation datasets for frontier models. Comfort with PyTorch and JAX or similar, and quantum tooling such as Qiskit, PennyLane, or Cirq. Publication record in high-impact physics journals. Application Process: Interested candidates are invited to submit their resume, a cover letter detailing their qualifications and vision for the role, and references. Please include "Member of Technical Staff, Staff Physicist, Quantum Information and AI" in the cover letter. Join us at FirstPrinciples and be a part of a transformative journey where science drives progress and unlocks the potential of humanity.
Senior Gameplay Designer (Combat & AI)
Are you on a mission to create games that bond players together into deeply invested communities? Do you spend your time thinking about how to build combat puzzles for players that have potential to create memorable teamplay moments? Are you excited to make gameplay that strongly cares about player intention, action game feel, and readability? We are seeking a highly technical, creative, and team-oriented Senior Sandbox Designer to contribute to a new multiplayer action game on teamLFG. You will work closely with the entire Design Team designing, crafting, and implementing a robust suite of AI characters for use in an objective-based team game. You will collaborate with team members from other disciplines to drive cohesive gameplay vision. You will establish good design processes and evangelize them throughout the design team. Most importantly, you will work with a fun, dedicated, and cross discipline team devoted to turning a creative dream into a new franchise at PlayStation. RESPONSIBILITIES • An active member of a cross-discipline small team building new AI enemies, player objectives, and the core systems that enable the creation of future AI, such as navigation, perception, behavior, and combat prioritization • Create and balance a suite of active and passive player items that can extend and amplify player base kits and act as meaningful inter-match upgrades • Review content created by multiple disciplines, giving feedback to ensure competitive readability, best in class game feel, and compelling fantasies • Create and maintain endearing characters that uphold IP quality, consistency, along with sandbox design principles • Work with audio, effects, 3D and animation to make in-game gameplay affordances clear to players REQUIRED SKILLS • Intuitive understanding of how second-to-second action games work and why people play them • Fluency for collaboration with designers, artists, programmers, audio professionals, quality assurance and producers to achieve a common goal, with adaptability for how to work in a flexible work environment • Broad T-shaped rapid prototyping skills, with strong technical scripting ability and enough multi-disciplinary knowledge to quickly stub out gameplay ideas to evaluate their potential • Strong understanding of combat animation; is experienced in discussing anticipation, follow through, character and timing, and their impact on game readability and balance • Proven ability to build alignment and productively own feature direction without sacrificing empathy and collaboration with team contributors • Ability to operate autonomously and handle ambiguity, including giving and receiving feedback despite that ambiguity • Understanding of PvP game design and balance, getting the challenge level right for a wide variety of situations • Understanding of how systemically consistent, combinatoric game design can create player surprise and laughter • Outstanding oral and written communication skills PREFERRED EXPERIENCE • Experience as a Sandbox/Gameplay Designer on a multiplayer action game, designing, documenting, and building combat/character systems • Experience delegating work or ownership of an area to multi-disciplinary peers • Knowledge and perspective from playing competitive team games At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $118,000 - $177,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
LLM Game Designer (m/f/d)
Why us? At welevel , we’re more than just a startup - we’re a vibrant community of innovators passionate about crafting the future of RPG and survival games. Based in Munich, we combine cutting-edge technology with a collaborative and forward-thinking culture, where every team member plays a vital role in our success. Here’s what makes us stand out: Inspiring Work Environment : A central Munich location with a motivated and international team that thrives on creativity and collaboration. Competitive Compensation : We believe in rewarding talent fairly and offer a compensation package that reflects your skills and impact. Team Activities : Regular events to build a strong sense of community. Free Drinks : Enjoy complimentary beverages to keep you refreshed throughout the day. A Pioneering, Start-Up Mindset : Join a culture where your ideas and creativity are valued and encouraged. Your Role As an LLM Game Designer, you will shape how NPCs think, talk, and behave in our world. Your core craft is prompting: writing, structuring, and iterating on the prompts that drive NPC personalities, dialogue, and decision-making. You design the systems behind these prompts together with game designers and AI engineers, so that NPCs feel intelligent, reactive, and immersive in every situation the player creates. Responsibilities Write, structure, and iterate on prompts that drive NPC personalities, dialogue, and behavior Design and refine the AI-driven systems that decide how NPCs talk, react, and make decisions Build distinct character personalities and ensure consistent voice and tone across interactions Create villager automation systems that let NPCs assist the player meaningfully Ensure NPC interactions feel organic, contextual, and connected to in-game events Work with gameplay and systems teams to integrate AI with quests, economy, and survival mechanics Test, evaluate, and continuously improve prompt quality based on playtests and player feedback Requirements 2+ years of experience in game design or a closely related creative role Strong hands-on experience writing and iterating on LLM prompts, with a clear sense of how prompt structure shapes model behavior Solid understanding of how LLMs work in practice, including their strengths, limitations, and typical failure modes Experience designing characters, dialogue, or narrative systems Experience working with Unreal Engine Knowledge of procedural storytelling and generative AI is a plus Ability to work onsite in Munich, Germany (EU work authorization required) What we offer Work on a groundbreaking AAA survival city-building game. Be part of a passionate and highly experienced team. Competitive salary and benefits package. Opportunity to innovate in AI-driven game development. A chance to grow with a rapidly expanding game studio backed by top industry veterans. Are you ready to embark on an epic journey with welevel and make SolidRiver an unforgettable gaming experience? Don't hesitate! Apply now and let your creativity flow like a mighty river!
Indie Game Developer - AI Trainer
Opportunity Overview Handshake is looking for skilled LibreSprite , Defold , and/or Solar2D users to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with pixel art, sprite creation, or 2D game asset design to evaluate AI-generated content and provide feedback that helps AI better understand visual tasks and game art workflows. This is an ongoing, project-based opportunity you can take on alongside anything else you have going on. Who This Is For This is a good fit if you're an experienced LibreSprite, Defold, and/or Solar2D user who has worked in or around roles like: Pixel Artist or Game Artist Indie Game Developer 2D Animator or Game Asset Designer You should have solid experience with one or more of the following: Sprite creation, pixel art, or 2D game asset design using LibreSprite, Defold, and/or Solar2D Annotating or labeling game art assets Creating game assets following style guides or project briefs Reviewing game art for quality, accuracy, or stylistic consistency What You'll Do You'll use your experience with LibreSprite, Defold, and/or Solar2D to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world pixel art and game asset workflows. No prior AI or technical experience is required. Qualifications We're looking for people who have: At least 1 year of hands-on experience with LibreSprite, Defold, and/or Solar2D , whether through professional work or freelance projects A working knowledge of pixel art and 2D game asset concepts and workflows Strong written communication skills and attention to detail The ability to work independently and follow written guidelines Work Model and Project Details Status: Independent contractor (not a full-time employee role) Location: Fully remote; work from anywhere with a reliable internet connection and access to a desktop or laptop computer Schedule: Flexible and asynchronous, with no minimum hour requirement. Many contributors work approximately 5–20 hours per week when assigned to an active project Duration: The Handshake AI program runs year-round, with projects opening periodically across different areas of expertise. Placement depends on current project needs, with opportunities to be considered for future projects as they become available Application Process Create a Handshake account Upload your resume and submit your portfolio Verify your identity Get matched and onboarded into relevant projects Start working and earning Work Authorization Must be currently residing in the United States. F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.
Game Developer - AI Trainer
Opportunity Overview Handshake is looking for skilled Godot , Defold , Solar2D , MonoGame , libGDX , Panda3D , Cocos2d-x , and/or PyCharm users to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with 2D and 3D game development, GDScript, or interactive media to evaluate AI-generated content and provide feedback that helps AI better understand game development tasks and engine workflows. This is an ongoing, project-based opportunity you can take on alongside anything else you have going on. Who This Is For This is a good fit if you're an experienced Godot, Defold, Solar2D, MonoGame, libGDX, Panda3D, Cocos2d-x, and/or PyCharm user who has worked in or around roles like: Indie Developer or Game Designer Game Developer or Interactive Media Developer Software Engineer or Computer Science graduate with a game development focus You should have solid experience with one or more of the following: 2D or 3D game development, GDScript, or scene management using Godot, Defold, Solar2D, MonoGame, libGDX, Panda3D, Cocos2d-x, and/or PyCharm Game design, mechanics prototyping, or interactive media workflows Annotating or labeling game assets and development outputs Reviewing game builds for accuracy, performance, or design consistency What You'll Do You'll use your experience to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world indie game development and engine workflows. No prior AI or technical experience is required. Qualifications We're looking for people who have: At least 1 year of hands-on experience with Godot , Defold , Solar2D , MonoGame , libGDX , Panda3D , Cocos2d-x , and/or PyCharm , whether through professional work or freelance projects A working knowledge of game development concepts, GDScript, and engine workflows Strong written communication skills and attention to detail The ability to work independently and follow written guidelines Work Model and Project Details Status: Independent contractor (not a full-time employee role) Location: Fully remote; work from anywhere with a reliable internet connection and access to a desktop or laptop computer Schedule: Flexible and asynchronous, with no minimum hour requirement. Many contributors work approximately 5–20 hours per week when assigned to an active project Duration: The Handshake AI program runs year-round, with projects opening periodically across different areas of expertise. Placement depends on current project needs, with opportunities to be considered for future projects as they become available Application Process Create a Handshake account Upload your resume and submit your portfolio Verify your identity Get matched and onboarded into relevant projects Start working and earning Work Authorization Must be currently residing in the United States. F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.
iOS / Flutter Software Engineer
Do you love cutting-edge tech and are passionate about engineering? Then this opportunity might be perfect for you! About DSR Corporation DSR Corporation has been the ideal end-to-end solution provider for hundreds of companies, from startups to the Fortune 500, since 1998. Since then, DSR has blossomed into 11 technical divisions, with highly-skilled, technologically-agnostic engineering resources and services in full-stack web, embedded, mobile, wireless, big data / analytics, scalable databases, system software, digital media, SSI / blockchain, and AI / computer vision. Our fully-managed teams and deep technical expertise enable us to provide world-class custom software solutions of any scale and complexity. This approach has allowed us to serve industry leaders like Netflix, Nordic Semiconductor, Seagate, Legrand, EDF, Amazon, Sysgo, and many others. The company has offices located around the world including Denver, Porto, Voronezh, Yokohama-city, and Tashkent. Among our own products are ZBOSS, the Zigbee software protocol stack for IoT devices, zHome framework for smart home solutions (mobile app, back-end, IoT gateway), ZBOSS Open Initiative to maintain and improve the market-leading Zigbee® PRO software platform together with heavyweight IoT market players. DSR's wholly-owned subsidiary, Noema, focuses on delivering the most up-to-date and reliable AI and Computer Vision solutions for security, manufacturing, retail, healthcare and smart homes/cities businesses. Join our multinational team of seasoned software engineers! We're passionate about tackling complex tasks and sharing our unique software development expertise, accumulated over 25 years. With well-established workflows and transparent career paths, we're geared to boost your professional growth, regardless of your current experience level. Let's change our world for the better by doing software right! www.dsr-corporation.com | www.dsr-iot.com | www.dsr-zboss.com | www.dsr-zoi.com | www.noema.tech We are currently looking for an iOS / Flutter Software Engineer with deep knowledge of iOS Frameworks, Swift & SwiftUI. You will be responsible for designing, building, and maintaining the next generation of iOS applications. Your primary focus will be developing high-end iOS applications for the latest Apple mobile devices. Required Skills: 2+ years of experience developing mobile applications for iOS (Swift, SwiftUI, UIKit) / Flutter. Understanding of basic iOS memory management techniques and best practices. Understanding of multithreading. Ability to develop a part of software product independently and collaborate with other team members. Ability to evaluate tasks and follow the created schedule. Solid understanding of software engineering techniques, methodologies, and practices (data structures, OOP, architectural patterns). Databases/ORM (noSQL database, SQL like database) Understanding of client-server network applications and HTTP protocol (RESTful Web Services in particular). Technical English. Preferred Skills: Custom controls. Bluetooth core framework. Experience with publishing apps in App Store. Will be a Plus: MapKit/Google Maps SDK. Swift 6 experience AVFoundation framework. Flutter development experience. Fluent English. Working experience with UIKit in the code. In-App purchases. What we offer: Competitive salary and great benefits. Accelerated career growth. Flexible schedule. Office in the center of Tashkent. Strong work-life balance emphasis. Paid sick leave days. Free trainings for technical and soft skills. Language courses. Free licensed software.
Senior Manager - Digital Strategy: Industry 4.0 an...
Description About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. TempHtmlFile Job Description: Key Skills: • Around 11 years of experience as an IT Project Manager with over 4+ years in Digital Project Management • Digital Project Managers with End-to-End digital application/platform development and implementation experience to successfully plan, implement and deliver digital transformation projects enterprise-wide • Past experience of successfully running several Agile/Devops/CI CD Projects/Architecture Integration and related areas. • Estimated costs and managed a project budget of ~USD 1M • Impeccable English proficiency and communication to lead conversations with senior & foreign stakeholders Highly desirable to have experience in: Any of the below Skills: Digital Platforms, Low code/no code, ERP (e.g., SAP), Digital Sales platforms (e.g., Salesforce, Sharepoint, Workday, Anaplan, Ariba, Mulesoft, e-discovery, AI/ML, AR/VR, Digital Twin). Any of the below Technologies: Cloud, webapp, mobile, software-as-a-service, analytics, ERP, automation, iot, data and digital platforms Knowledge in Areas like: Energy, Oil & Gas, ENR, Renewables, Chemicals, Deepwater Or Knowledge in Functions like: Retail, Finance, Legal, HR, or Capital Projects Good to have: • Active Project management Certifications like PMP/Prince2/CSPO/CSM/P3O/MSP/SA, etc. • Technical IT/Cloud certifications like Azure, AWS, AI/ML, etc. • Knowledge of Project Management Tools like ServiceNow ITBM/Azure Devops/Jira, etc. • International exp or worked with stakeholders abroad (from different time zones) Key Responsibilities: • End-to-end digital Project management and delivery (Solutioning to Hypercare support) • Develop Project planning, scoping, cost estimation, implementation roadmaps & test/release strategies • Review Tech stack & architecture review, project financials and project audit compliance • Manage WBS, resource utilization, knowledge management, lead steerco & stakeholder communications • Monitor adherence and compliance to project delivery framework, standards, policies, and procedures • Develop proposals, presentations on projects – product & services demo’s, etc. • Collaborate with vendors and Third Parties, manage vendor contracts & payments • Cater to requests on RFI/RFP or on the Business Development /Business Management front • Prepare insightful industry reports, thought leaderships and market research collaterals Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. Qualifications TempHtmlFile Qualifications • B.E. or B. Tech from Tier 1 / 2 campus • MCA, MTech, MS or MBA from reputed institutes (preferable) • Around 11 years of total experience with around 4 years into Digital Project Management
Data Scientist — Blockchain Intelligence
⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate, and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over $27M from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health. We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
Blockchain Security Expert Intern - AI Track
About the Company Founded in 2018 by professors of Yale University and Columbia University, CertiK is a pioneer in blockchain security, utilizing best-in-class AI technology to secure and monitor blockchain protocols and smart contracts. CertiK’s mission is to secure the cyber world. Starting with blockchain, CertiK applies cutting-edge innovations from academia into enterprise, enabling mission-critical applications to be built with security and correctness. CertiK is one of the fastest growing and most trusted companies in blockchain security and has become a true market leader. Our clients include leading projects such as Aave, Polygon, Binance Smart Chain, Yearn, and Chiliz. Our investors include top VCs like Tiger Global, Coatue Management, Shunwei Capital and Hillhouse Capital as well as industry leaders like Coinbase Ventures and Binance. About the Position The primary focus of this role is to pioneer the development of an intelligent AI agent powered by large language models (LLMs) to enhance our security audit tools in the blockchain space. As a Blockchain Security Expert intern, you will work closely with our blockchain security team to bridge cutting-edge academic research with practical applications. Your efforts will be dedicated to designing, fine-tuning, and integrating LLM-driven AI agents that automatically analyze smart contracts and identify potential vulnerabilities. In this role, you'll be immersed in research and experimentation, exploring new methods to improve threat detection and risk assessment within our security audit platform, thereby directly contributing to more secure blockchain infrastructures. Target monthly salary for this role performed is $6,000 - $8,000 if based in the US. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates. CertiK accepts applications for this position on an ongoing basis. CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law. CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf All CertiK employees are expected to actively support diversity on their teams, and in the Company. Responsibilities Collaborate with our blockchain security team to design and implement a large language model (LLM)-based AI agent for security audit tools. Experiment with novel AI techniques to enhance threat detection and risk assessment in blockchain environments. Assist in transforming cutting-edge research on AI agents into practical, scalable security auditing solutions. Continuously research emerging trends in LLMs, AI agent architectures, and cybersecurity, and proactively propose improvements. Requirements Currently pursuing or recently completed a PhD in Artificial Intelligence, Computer Science, or a related field, with a strong emphasis on machine learning, natural language processing, and/or cybersecurity. Deep understanding of LLM architectures (e.g., transformers) and hands-on experience in training or fine-tuning such models. Proficiency in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow). Basic familiarity with blockchain technology and smart contract development is a plus. Excellent analytical skills, problem-solving capabilities, and the ability to thrive in a fast-paced, innovative startup environment. Strong written and verbal communication skills in English. Bonus Points Prior research or project experience in developing AI agents or automated security analysis tools. Exposure to security audit methodologies and vulnerability assessment, particularly in blockchain or smart contract environments. Familiarity with blockchain programming languages (e.g., Solidity) and platforms (e.g., Ethereum). Publications or contributions to leading conferences/journals in AI, NLP, or cybersecurity. Demonstrated ability to translate research insights into effective, production-ready tools.
Business Development Manager - Web3, Blockchain, a...
Global Search Consultancy making a difference in the Ethereum community & Software Development industry. We are a leading-edge technology company at the forefront of Web3, Blockchain, and AI development services. Our mission is to empower businesses with transformative solutions, leveraging the potential of these cutting-edge technologies. We pride ourselves on pushing the boundaries of innovation and delivering excellence to our clients Role Overview: As a Business Development Manager, you will be a key player in our mission to expand our footprint in the Web3, Blockchain, and AI sectors. Your primary responsibilities will include: Identifying and engaging potential clients and partners who can benefit from our services. Developing and nurturing strong, long-lasting client relationships. Understanding client needs and tailoring our solutions to meet their objectives. Collaborating with our technical teams to ensure project success. Staying updated on industry trends and market dynamics to identify growth opportunities. Qualifications: Proven track record in business development, preferably in Web3, Blockchain, or AI services. Strong understanding of emerging technologies and their applications. Exceptional communication and negotiation skills. Ability to work independently and as part of a collaborative team. Enthusiasm for staying at the forefront of industry developments. What We Offer: Competitive compensation package with performance-based incentives. Opportunity to work with cutting-edge technologies and innovative projects. A dynamic and supportive work environment. Room for professional growth and development. Chance to shape the future of technology solutions. If you are a visionary Business Development Manager with a passion for driving growth in Web3, Blockchain, and AI, we invite you to join our team. Make your mark in the world of emerging technologies and help us lead the way. Proven track record in business development, preferably in Web3, Blockchain, or AI services. ($1 million or more in sales closed) Strong understanding of emerging technologies and their applications. Exceptional communication and negotiation skills. Ability to work independently and as part of a collaborative team. Enthusiasm for staying at the forefront of industry developments. All your information will be kept confidential according to EEO guidelines.
Blockchain Security Expert - AI Track
About the Company CertiK is the largest blockchain security auditor and provides a comprehensive suite of tools to secure the industry at scale. To date, CertiK has worked with over 4,900 Enterprise clients, secured over $557 billion worth of digital assets, and has detected over 18,000 vulnerabilities in blockchain code. Our clients include leading projects such as OKX, Tether, Ripple, and Pancakeswap. Our investors include top VCs like Tiger Global, Coatue Management, Shunwei Capital and Hillhouse Capital as well as industry leaders like Coinbase Ventures and Binance. Investors = Insight Partners, Sequoia, Tiger Global, Coatue Management, Lightspeed, Advent International, SoftBank, Hillhouse Capital, Goldman Sachs, Shunwei Capital, IDG Capital, Wing, Legend Star, Danhua Capital and other investors. About the Role The primary focus of this role is to pioneer the development of an intelligent AI agent powered by large language models (LLMs) to enhance our security audit tools in the blockchain space. As a Blockchain Security Expert on the AI Track, you will work closely with our blockchain security team to bridge cutting-edge academic research with practical applications. Your efforts will be dedicated to developing, testing, and optimizing LLM-driven AI agents that automatically analyze smart contracts and identify potential vulnerabilities. In this role, you'll be immersed in research and experimentation, exploring new methods to improve threat detection and risk assessment within our security audit platform, thereby directly contributing to more secure blockchain infrastructures. Compensation: If the role is performed in the US, the target annual compensation is $120,000 - $180,000. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates. blockchain startups hiring CertiK accepts applications for this position on an ongoing basis. CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law. CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf All CertiK employees are expected to actively support diversity on their teams, and in the Company. Responsibilities Collaborate with our blockchain security team to develop an LLM-based AI agent for security audit tools. Experiment with novel AI techniques to enhance threat detection and risk assessment in blockchain environments. Assist in transforming cutting-edge research on AI agents into practical, scalable security auditing solutions. Continuously research emerging trends in LLMs, AI agent architectures, and cybersecurity, and proactively propose improvements. Requirements A bachelor’s degree (or higher), preferably in a science or engineering field. 2+ years of security or software development experience. Familiar with blockchain and smart contract technologies. Familiar with agentic coding tools, such as Cursor, Windsurf, Cline, etc. Strong and creative problem-solving skills; always willing to learn and embrace new technologies, and to collaborate. Preferred Qualifications Prior research or project experience in developing AI agents or automated security analysis tools. Demonstrated ability to translate research insights into effective, production-ready tools. Prior knowledge of web3 security audits. Hands-on blockchain experience, such as evaluating risks for blockchain projects or analyzing on-chain security events.
Staff Machine Learning Engineer
P-1504 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we’ve launched Databricks Assistant , AI/BI Genie , and Agent Bricks working with product teams, and made significant strides in LLM quality for these products. These products are used by 100s of thousands of Databricks users every day. We are tackling challenging problems like code suggestion, error detection and correction, text-to-sql generation, automatic pipeline generation, knowledge QA and many others. As our GenAI products continue to evolve, we are seeking multiple GenAI Engineers from junior levels to more senior levels to drive the next phase of development. In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI interactions at scale. Key Responsibilities Shape the direction of our applied AI areas and intelligence features in our products . Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products and services (e.g., Databricks Assistant and AI/BI Genie). Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains. Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration. Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction. Build scalable, reusable backend systems to support GenAI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model performance. What We’re Looking For 2-8 years of machine learning engineering experience in high-velocity, high-growth companies. Alternatively, a strong background in relevant ML research in academia will be considered as an equivalent qualification. Strong track record of working with language modeling technologies. This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, and evaluation benchmarks. Proficiency in Python, TensorFlow/PyTorch, and scalable ML architectures. Ability to drive end-to-end model development, from research and prototyping to deployment and monitoring. Strong analytical and problem-solving skills, with a passion for improving AI-driven user experiences. Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment. Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) is a bonus. Why Join Us? At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts. If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you! Please note we are open to employees working from our Mountain View, CA office for this position. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $190,000 - $285,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Scientist /Senior Scientist, Multimodal & Relation...
Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at altoslabs.com. Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission . Diversity at Altos Altos Labs has been named one of the Top 3 Biotech Companies and ranked for the second year on the Forbes 2026 Best Startups in America list. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos As part of our team, you will help to accelerate and optimize our progress in developing unified, multi-modal generative foundation models for multiscale biology. You will be an integral part of our multidisciplinary teams building the computational platforms that will enable Altos to achieve its mission. In this role, you will partner and collaborate with other multidisciplinary Scientists and Engineers across the Institute of Computation to design, build, and scale state-of-the-art foundation models that tackle biological questions and aid in the discovery of novel interventions for aging and disease. You will focus on the synthesis of unstructured multimodal signals with the structured relational data and knowledge graphs that represent biological reality. The successful candidate will thrive in a fast-paced environment that stresses teamwork, transparency, scientific excellence, originality, and integrity. Responsibilities As a Staff Machine Learning Scientist, you will use your experience to focus on designing, developing, and evaluating state-of-the-art foundation models, at scale, to benefit the research. Pre-train and fine-tune large-scale machine learning systems using multimodal biological data, natural language, and structured relational inputs. Architect and implement novel hybrid models that integrate Large Language Models (LLMs) with Graph Neural Networks (GNNs) for multi-hop reasoning over biological knowledge graphs . Develop Relational Foundation Models (RFMs) that enable zero-shot predictive tasks over heterogeneous, multi-table biological datasets. Lead the design of efficient data loading strategies and distributed training recipes (e.g., FSDP, DeepSpeed) to train models across multiple GPU nodes. Gain insights into model performance based on theory, deep research, and the mathematical underpinnings of set-invariant and graph-structured architectures . Apply strong coding experience to model development and deployment, ensuring research prototypes transition into reliable, scalable production systems. Stay up-to-date on the latest developments in deep learning—including native early-fusion and Mixture-of-Experts (MoE) architectures—and apply this knowledge to Altos' research . Mentor junior staff while maintaining a high individual technical contribution to the core research ecosystem and peer-reviewed publications. Who You Are We are looking for someone who is: Excited about the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities. Highly collaborative in mindset and ways of working across research and engineering boundaries. Self-motivated to drive and deliver on long-term technical projects and scientific goals. Demonstrates the desire to grow professionally and expand their skillset in biology, machine learning, and/or drug development. Able to communicate and explain the design, results, and impact of complex AI architectures to both scientific and non-scientific staff. Keen to contribute to seminars and scientific initiatives within Altos and the broader AI research community. Minimum Qualifications PhD in Computer Science, Machine Learning, or a similar quantitative field with 5+ years of relevant work experience in academic or industry settings. Prior experience in developing and implementing novel generative AI models, specifically in multimodal integration, GraphRAG, or relational deep learning . Deep understanding of Machine Learning principles and how they apply to diverse architectures like Transformers, GNNs, and diffusion models . Very strong programming skills in Python and deep learning libraries (e.g., PyTorch, JAX, Hugging Face Transformers/Accelerate). Proven experience with multi-GPU and distributed training at scale (e.g., DDP, FSDP, DeepSpeed, Megatron, or Ray). Strong track record of published, peer-reviewed innovative AI/ML research at top-tier conferences (NeurIPS, ICML, ICLR, CVPR). Preferred Qualifications Familiarity with tabular foundation models (e.g., TabPFN) and in-context learning strategies for structured data . Specific experience in native multimodal modeling (early-fusion) or the synthesis of LLMs and Knowledge Graphs . Track record of ML applied to biological data, such as NGS data (RNA-seq, ATAC-seq), biological imaging (microscopy, IF), or spatial transcriptomics. Experience in optimizing large-scale inference via quantization, distillation, or memory-efficient attention mechanisms. The salary range for Redwood City, CA : Scientist I, Machine Learning: $200,900 - $257,500 Scientist II, Machine Learning: $226,200 - $290,000 Senior Scientist I, Machine Learning: $257,400 - $330,000 The salary range for San Diego, CA : Scientist I, Machine Learning: $179,400 - $230,000 Scientist II, Machine Learning: $212,900 - $273,000 Senior Scientist I, Machine Learning: $239,500 - $307,000 Exact compensation may vary based on skills, experience, and location. LI-NN1 For UK applicants, before submitting your application: - Please click here to read the Altos Labs EU and UK Applicant Privacy Notice ( bit.ly/eu_uk_privacy_notice ) - This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment. Equal Opportunity Employment We value collaboration and scientific excellence. We believe that a culture of belonging are foundational to scientific innovation and inquiry. At Altos Labs, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining an inclusive environment. Altos Labs provides equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Altos prohibits unlawful discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/
Staff Machine Learning Engineer - Wildfire
The climate crisis is the defining challenge of our time—but it’s also the greatest opportunity for innovation, and a challenge we’re proud to take on. At Overstory, we’re harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes. The grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change. One of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines. That’s where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we’re helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid. Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We’re outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good. Join us to help us build a more resilient world together. Role & Team As a Staff Machine Learning Engineer at Overstory, you will lead the development and scaling of our Wildfire Fuel Detection Model. This core engine powers how we understand vegetation structure, fuel loads, and wildfire risk from satellite and environmental data. You’ll help shape the next generation of Overstory’s modeling capabilities by combining cutting-edge ML techniques, large-scale geospatial data, and real-world domain expertise. Reporting to our VP of Product Engineering, you’ll work closely with data scientists, ML engineers, and product teams to ensure our wildfire models are accurate, robust, and production-ready – balancing scientific rigor with practical engineering excellence. As a senior technical leader, you’ll mentor other engineers, drive architectural decisions, and define standards for modeling, experimentation, and deployment across Overstory. Time zone requirement: Eastern North America (NST, AST, EST) What You’ll Do In collaboration with data, ML, and science colleagues, you will: Architect and build advanced ML models to map and predict vegetation and fuel conditions across diverse geographies. Design and maintain robust data and feature pipelines for large-scale geospatial and temporal data. Partner with wildfire science and product teams to define modeling objectives and evaluation metrics tied to real-world impact. Build reproducible experimentation frameworks and model evaluation workflows. Scale models from research to production with a focus on performance, reliability, and explainability. Lead the evolution of ML systems, tooling, and processes — ensuring that our wildfire fuelscape models remain state-of-the-art and maintainable. Collaborate with MLOps peers to streamline training, inference, and monitoring in production environments. Skills & Experience Experience thriving at the intersection of machine learning, geospatial data, and environmental science; deeply motivated by the opportunity to reduce wildfire risk through data-driven insights 10+ years of experience designing and building production-grade ML pipelines and systems Strong background in deep learning, computer vision, or remote sensing Skilled in designing end-to-end ML systems — from data ingestion and preprocessing to deployment and monitoring Hands-on experience with frameworks like PyTorch, TensorFlow, XGBoost, or LightGBM, and data tools like Dask, Spark, or GeoPandas Familiarity with GCP and Vertex AI, or similar cloud-based ML platforms Strong communication skills and ability to collaborate across technical and scientific domains Comfortable leading architectural discussions and mentoring other engineers Nice To Have Background in wildfire science, forestry, or remote sensing Experience integrating physics-based models with ML or working with active learning and uncertainty quantification Experience in model interpretability and data provenance for environmental ML systems Experience with deep learning models for weather or climate data Experience in remote-first or globally distributed teams Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description. What We Offer Competitive, location-specific compensation and benefits Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around Home office stipend, coworking and ongoing education budgets A company culture that genuinely embodies each of our core values To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis About Our Team We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team and at last count we speak fourteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Cantonese, Estonian, and Danish. We work remotely from eleven countries and are looking for candidates that are living and working in one of them: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada. We gather once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration. Diversity & Inclusion The climate crisis is a human crisis that requires diverse perspectives to solve. We place enormous value on diversity and believe that the best ideas emerge when people with different backgrounds and experience work together. We remain committed to scaling a team that reflects the communities we serve, and strive to uphold equitable and inclusive practices across every aspect of our business. We are responsible for creating and maintaining a culture where everyone - regardless of background - has a voice in building a sustainable future. Our Values Tackling the climate crisis is our greatest mission. We act with urgency. Our curiosity fuels our growth. We recognize that change is constant, and we find joy and power in exploration. We’re rooted in diversity. Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences. We care for each other. We love the power of machines but we nurture each other as humans. Trust is fundamental. We assume the best in everyone, and we share ideas openly so that we have a positive impact. _________________________________ Use of AI in Our Hiring Process We sometimes use AI tools to support parts of our hiring process, such as helping us manage applications more efficiently or ensuring job descriptions are clear and inclusive. All hiring decisions are always made by people, not machines. Any data processed by AI is handled securely in line with GDPR and our Privacy Notice .
Staff Data Scientist, Machine Learning in Epidemio...
About Us Valo Health is a human-centric, AI-enabled biotechnology company working to make new drugs for patients faster. The company’s Opal Computational Platform transforms drug discovery and development through a unique combination of real-world data, AI, human translational models and predictive chemistry. Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work together to break down traditional R&D silos and accelerate the speed and scale of drug discovery and development. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We embrace new ways of learning, solve complex problems and welcome diverse perspectives that can help us advance patient-centric innovation. Valo is headquartered in Lexington, MA, with additional offices in New York, NY and Tel Aviv, Israel. To learn more, visit www.valohealth.com . About the Role... As a Staff Data Scientist, Machine Learning in Epidemiology and Patient Data Products, you will be a core member on a team of data scientists building a powerful computational platform for advancing the discovery and development of new medicines. In this role, you will develop machine learning tools for patient data and drive their adoption across teams, under the guidance of epidemiology and biology program leads. Successful candidates will work with a diverse group of scientists and domain experts, in ways that cut across traditional industry boundaries in an innovative startup environment. What You’ll Do… Your primary areas of responsibility will be: As a senior member of our team, you will lead the development of machine learning (ML) methods and analyses of patient data with diverse stakeholders. For example, integrate clinical insights into supervised and unsupervised learning approaches and generate patient profiles. Perform project-specific hands-on analysis and modeling of high-dimensional longitudinal real-world data, spanning electronic medical records (EHRs), clinical notes, sequencing data, and multi-omics, using modern data science tools in cloud environments. Contribute to the design, implementation, and evaluation of innovative machine learning approaches for patient data to provide novel clinical insights. Be comfortable with scientific uncertainty and embrace curiosity and creative solutions. Many of the challenges we tackle don’t have known solutions or established pathways. Use your technical knowledge and intuition to articulate and break down large problems into solvable pieces. There are a lot of problems to solve; you’ll need to prioritize which of these are critical-path today from those that can wait. Be a dynamic and active team member, championing shared coding standards, participating in code reviews, and providing regular updates on your work and input into the work of your colleagues. What You Bring… MS, MPH, or PhD in health data science, biostatistics, or a related quantitative field, with 5 years of experience developing and applying ML methods, including at least 3 years working directly with real-world patient data. Experience in a biopharmaceutical, epidemiological or biostatistical setting is a plus. Extensive experience developing and implementing machine learning solutions in healthcare databases, including EHRs, administrative claims, and patient registries. Familiarity with U.S. and global medical coding ontologies and data models (ICD, ATC, LOINC, SNOMED, CPT, HCPCS, OMOP, etc.). Confident working with highly sparse and high-dimensional data. Experience processing and mining clinical notes is a plus. Extensive experience building, maintaining, and operationalizing ML pipelines, and translating model outputs into meaningful insights for diverse audiences. Broad proficiency across core ML paradigms (e.g., supervised, unsupervised, semi-supervised) and experience with linear and logistic regression, classification and tree‑based methods, clustering and dimensionality‑reduction techniques, and deep learning architectures. Hands-on experience with representation learning and transformer-based and other sequence models is a plus. Strong grounding in key components of the ML development lifecycle, including evaluation metrics, hyperparameter tuning, model selection, feature engineering and selection, model explainability, and MLOps best practices. Mastery of Python and modern data science tools (e.g., scikit-learn, PyTorch, statsmodels, SciPy, MLlib, MLflow). Experience with AI-assisted coding tools (e.g., Claude Code) is a plus. Comfortable working in ambiguous problem spaces; experience working in a start-up or agile work environment as part of cross-functional project teams. Ability to lead and facilitate meetings and work collaboratively on multi-disciplinary project teams. Exceptional time management, ability to prioritize multiple tasks simultaneously, and deliver products on time every time. Enthusiastic about documentation–ensuring that all analyses are clear and reproducible with thorough documentation of key assumptions and decision points. You May Also Bring… Advanced knowledge of biostatistics approaches, including inferential and predictive modeling. Experience in causal approaches for observational studies, including propensity score methods, bias adjustment, and covariate selection and adjustment. Familiarity with or exposure to traditional drug discovery and development processes and approaches. Remote Salary Range $165,000 - $190,000 USD CA Salary Range $175,000 - $220,000 USD Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Valo Health currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Valo Health's good faith estimate as of the date of publication and may be modified in the future. Please note: At this time, we are only able to consider candidates who currently have permanent US work authorization without the need for immediate or future sponsorship.
Machine Learning Engineering Manager, App SW
About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The Role We're looking for an exceptional leader to spearhead our new Application Engineering team, a self-sufficient and high-impact group focused on localising and advancing our autonomous driving technology for the US market. This is a unique opportunity to shape Wayve’s AV capabilities in the US from the ground up. As a founding manager, you’ll lead a small but mighty team of engineers working across robotics, machine learning, and systems integration. You'll drive development of autonomy features tailored for US's road infrastructure, cultural driving behaviours, and regulatory landscape, ensuring our AV stack performs safely and effectively in this highly distinctive environment. We’re looking for someone who thrives in self-directed, startup-like conditions, capable of setting a vision, executing fast, and making robust decisions independently — while staying aligned with global engineering efforts. This role requires breadth: strong experience across AV systems, including robotics and autonomy, is essential. If you also bring deep expertise in machine learning, that's a major plus. Key Responsibilities: Build and lead a self-sufficient AV development team in the US, hiring and mentoring top talent across Robotics and ML. Deliver autonomy capabilities tailored to road conditions and driving norms, in close collaboration with central Autonomy teams. Drive full-cycle development: from identifying local autonomy needs, to designing, implementing, testing, and deploying features into production. Ensure the team upholds Wayve’s high engineering standards, while operating with agility and independence. Work closely with OEM partners in the US — representing Wayve’s autonomy team in technical discussions, capturing product requirements, and shaping joint development plans. Establish close working relationships with our product and vehicle operations teams in the US. About you To be successful in this role, you'll bring strong technical expertise, proven leadership skills, and a passion for building robust autonomous systems that can adapt to diverse real-world challenges. Essential A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments. Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings. Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision. Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration. Excellent communication skills: you’re able to clearly convey technical context and strategic vision across cultures and time zones. Strong product sense and stakeholder management skills: you’re comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations. Desirable Prior experience in autonomous vehicles or robotic systems operating at scale. Familiarity with US's road environment, driving behaviour, or AV regulatory landscape. A strong foundation in machine learning and its application to real-time decision-making or perception systems. This role is a full-time role based in Sunnyvale, CA or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $336,400 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. LI-KM1 Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to Work DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Machine Learning Engineer, App SW
About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The Role As an ML Engineer within the Application Engineering team, you’ll lead critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalisation, comfort, and collaboration. You’ll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You’ll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production. Responsibilities: Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization. Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment. Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness. Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development. Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems. Collaborate cross-functionally across various teams to ensure integration and iteration velocity. Mentor senior engineers and shape the long-term technical direction across Autonomy. About you: In order to set you up for success as a Machine Learning Engineer at Wayve, we’re looking for the following skills and experience. Essential Extensive and proven track record of shipping deep learning systems to production. Expert in deep learning (esp. sequential models, control, planning, or perception). Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices. Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components. Ability to lead technical initiatives across teams, drive alignment, and mentor engineers. Desirable Prior work in autonomous driving, imitation learning, or trajectory prediction. Familiarity with personalization, human behavior modeling, or driver intent inference. Experience integrating ML systems into production hardware or multi-agent simulation. This role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $283,500 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. LI-KM1 Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to Work DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
AI/Machine Learning Specialist
Overview Black Canyon Consulting ( BCC ) seeks a AI/Machine Learning Specialist that will lead design and deployment of AI/ML models that advance MC&FP’s mission outcomes while ensuring ethical and compliant use. We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition and conference reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today! Duties & Responsibilities: Designs AI/ML prototypes, prompt engineering libraries, and ethical AI frameworks aligned with DoD AI Ethics Principles. Implement data pipelines and model governance controls Collaborate with DoD CIO on AI ethics and RMF AI risk alignment Minimum Qualifications: 8 + years of experience in AI, ML, or data science solutions Bachelor’s in Data Science, CS, or Engineering Experience handling Controlled Unclassified Information (CUI) at minimum Public Trust eligibility must have at least Public Trust or ADP/IT-2 investigations Experience with Python, TensorFlow, or PyTorch Preferred Qualifications: CQA, CMQ/OE, or equivalent certification Experience supporting DoD quality programs Experience handling Controlled Unclassified Information (CUI) at minimum Experience supporting DoD quality programs Benefits and Salary We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement. We offer a competitive salary commensurate with experience and location. The targeted range for this position is $135,000 - $205,000. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
Senior Machine Learning Engineer
SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry. SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we’re missing is you. We are looking for Software Engineers with varying levels of experience to join SeatGeek’s R&D team. What you'll do Run a modern, containerized service-oriented architecture using industry-leading software development practices Ship code to production many times a day Solve complex performance problems, build a many-sided marketplace, empower a data-driven business and scale our software to support our booming business Build performant, beautiful, inclusive user interfaces that delight our users and enhance our brand Evaluate new technologies and improve our software stack to keep our technological edge Leverage cutting-edge AI tools to bring ideas to life faster than ever while upholding SeatGeek’s technical and product standards Work across team and discipline boundaries to develop the best product in our industry What you have Experience building business critical software in a fast-paced environment. We'll be interested in hearing about what you've built and how Experience solving complex technical challenges. SeatGeek engineers create custom solutions to unique ticketing problems, including high traffic onsales, interactive venue maps, inventory tracking, and event matching. We'll be excited to hear about challenging problems you've solved Passion for software craftsmanship and product. You have well-considered opinions about how software should work, and hold yourself and your code to a high standard A product mindset. You think beyond the code, about user experience, business impact, and what makes a great product tick Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others Our stack You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned. Languages + Frameworks: Python + FastAPI, Go, C# + .NET Core Datastores: Postgres, MemcachedRedis, Elasticsearch Cloud: AWS, k8s, argo Version control: Gitlab AI Tooling: Cursor, Github Copliot, Claude Code Observability: Datadog Client-side: React+Typescript, Swift, Kotlin Perks Equity stake Discretionary annual bonus Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely A WFH stipend to support your home office setup Unlimited PTO Up to 16 weeks of fully-paid family leave 401(k) matching Student loan matching program Health, vision, dental, and life insurance Up to $25k towards family building, reproductive health services and Gender-affirming care $500 per year for wellness expenses Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical $360 per quarter to spend on tickets to live events Annual subscription to Spotify, Apple Music, or Amazon music The salary range for this role is $145,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location. SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us! To review our candidate privacy notice, click here .
Principal Machine Learning Engineer
Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact Are you passionate about AI? Do you love engineering solutions enabling fast, cutting-edge science? Are you eager to contribute to building products impacting the world for the greater good? As a Principal ML Engineer at Dedrone, you will contribute to architecting and implementing the platform used by Dedrone scientists to bring safe, secure, reliable AI features to the field of counter UAS devices. Collaborating closely with scientists and software engineers, you will enable new AI capabilities for Dedrone products. As part of a multidisciplinary team, you will be exposed to a wide range of domains and applications: from Multi-modal Sensor Fusion to Real Time Systems with distributed edge compute. The ideal candidate will have a consistent track record of successfully optimizing models for the edge and deploying AI models at the edge, including on device with limited memory & connectivity, to serve users world wide. They will understand the AI lifecycle and be capable of supporting scientists end-to-end along the development of new machine learning models and AI capabilities, leading to better and more responsible AI solutions. They are willing to be bold and stand up to support the team in enabling drone safety measures across Public Safety, Enterprise and Defense domains. What You’ll Do Location: Hybrid from Seattle, WA Reports to: Director of Artificial Intelligence Architect and develop secure, privacy-preserving, on device solutions to enable the continuous improvement of existing AI models. Collaborate with scientists in architecting and implementing state-of-the-art edge distributed training techniques. Implement on device monitoring solutions used for continuous model improvement Implement innovative model compression solutions to enable AI at the edge. Impact the team by bringing your own expertise and deep knowledge of the state-of-the-art to introduce new techniques leading to tangible impact in terms of model fairness, performance, and platform scalability. What You Bring Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field. 13+ years of software engineering experience and a proven track record of successfully architecting and maintaining large-scale distributed platforms. Experience with AI on chips, on device model deployment and management. Proficiency in python, C++, familiarity with ML frameworks such as TensorFlow, or PyTorch. Advanced knowledge and hands-on experience with on chips development. Excellent problem solving skills and ability to dive into system architecture, design, performance metrics, code, test plans, project plans, deployments and operations Comfort communicating and interacting with scientists, engineers and product managers. Preferred Master’s Degree or PhD in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field. Hands-on experience in solving Computer Vision or Natural Language Understanding problems in a business setting. Familiarity with responsible AI, de-biasing, model encryption and de-identification techniques. Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Medical, Dental, Vision plans Fitness Programs Emotional & Mental Wellness support Learning & Development programs Employee Resource Groups (ERGs) And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work. Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success. LI-Hybrid Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers . Base Pay Range $177,000 - $283,200 USD Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form . For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice. Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes. Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers . If you receive a suspicious offer or outreach from an email address that is not @axon.com , or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com .
Senior Machine Learning Scientist
Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. What You’ll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company ) US: Seattle, Boston, Scottsdale Responsibilities Own one or more key technical areas across LLM, MLLM, CV product portfolio. Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature. Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data. Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding. Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices. Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness. Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI. Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline. Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale. Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable. Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences. Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Medical, Dental, Vision plans Fitness Programs Emotional & Mental Wellness support Learning & Development programs And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship. Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers . Base Pay Range $159,750 - $255,600 USD Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form . For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice. Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes. Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers . If you receive a suspicious offer or outreach from an email address that is not @axon.com , or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com .
Senior Machine Learning Scientist
Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. What You’ll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company ) US: Seattle, Boston, Scottsdale Responsibilities Own one or more key technical areas across LLM, MLLM, CV product portfolio. Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature. Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data. Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding. Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices. Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness. Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI. Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline. Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale. Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable. Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences. Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Medical, Dental, Vision plans Fitness Programs Emotional & Mental Wellness support Learning & Development programs And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work Location: This role is based out of our Boston, MA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship. Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers . Base Pay Range $159,750 - $255,600 USD Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form . For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice. Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes. Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers . If you receive a suspicious offer or outreach from an email address that is not @axon.com , or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com .
Machine Learning Engineering Intern
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun , the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu , the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi , an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta. About the role: At Cresta, the Knowledge Assist (KA) team develops AI solutions for the contact center industry, focusing on improving agent productivity by providing access to the right knowledge at the right time. Our current projects: Generative Knowledge Assist (GenKA): Real-time, context-aware suggestions for contact center agents, integrating with multiple knowledge bases to streamline information retrieval, reduce agent effort, and ensure accurate responses. Knowledge Search (KS): A search experience tailored for contact center agents. Built on the GenKA stack, it aims to evolve into an enterprise search solution beyond contact centers. Retrieval-Augmented Generation (RAG): A critical project underpinning GenKA, KS, and VA, enabling efficient retrieval of relevant knowledge content and generating read-to-use agent responses grounded in knowledge. Our internships offer a dynamic, fast-paced environment where you’ll collaborate with top researchers and engineers in the field. We provide opportunities for interns to make significant contributions to AI research and apply novel techniques at scale. This is a unique opportunity to shape the future of AI at Cresta by solving complex problems and bringing breakthrough AI advancements into production environments. Responsibilities : Design, develop, and deploy Cresta’s KA solutions and proprietary models. Focus on practical AI challenges such as improving reasoning, and evaluation in real-world scenarios. Collaborate with cross-functional teams including front-end and back-end software engineers to integrate KA solutions into Cresta’s customer solutions. Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases. Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s KA. Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems. Qualifications We Value: Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field. Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow). Strong understanding of machine learning fundamentals and generative modeling. Ability to design and analyze experiments involving large-scale datasets. Work authorization in the country of employment at the time of hire. Perks & Benefits: $45-$70 per hour subject to taxes Lunch can be expensed (up to $25) while working in the office. PTO: 4 days Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details. This posting will be used to fill a newly-created role. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Machine Learning (ML) Engineer
Vectara provides a scalable platform to deploy your Enterprise AI Agents and AI Assistants with Accuracy, Security, and Explainability like no other solution. Our enterprise RAG Platform offers unparalleled Accuracy, Security, and Explainability by leveraging the strongest models for retrieval, embedding, reranking , a optimized LLM trained for quality , and advanced Hallucination Mitigation . We are the developers of the Hughes Hallucination Evaluation Model and Correction model, core to ensuring accuracy, quality, and responsible AI that is production ready . These innovations have been cited in the New York Times, Visual Capitalist , and many other leading publications. This platform has allowed us to be very successful with over 100 Enterprise clients including the likes of large US military organizations, Financial services, Healthcare, and Manufacturing. Our founding team includes industry veterans and experts in neural information retrieval and distributed systems from Google. Join us as we pursue our mission to help the world find meaning. People at Vectara are passionate about ensuring customers take advantage of breakthroughs in applied Artificial Intelligence (AI) to solve real-world technology and business problems today. Our team is a group of unquestionable all-stars in their respective fields of computer science and business from Google, Cloudera, Splunk, MongoDB, Elastic, and more. Job responsibilities Design, prototype, research and build AI systems for Vectara. Train, evaluate and deploy ML models in the domains of Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs) and Multimodal Large Language Model (MMLLMs). Improve the quality of Vectara’s AI Agents and RAG-as-a-service platform, working on features like multilinguality, self-supervised learning, agentic behavior and hallucination reduction. Publish technical blogs, papers, and patents. Requirements: BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field. 5+/4+ years of professional work experience after BS/MS applying machine learning to real-world problems, and crafting scalable and effective ML/AI solutions. Strong domain knowledge in at least one of the following: RAG, LLM, information retrieval, Multimodal LLMs. Excellent programming skills in Python. Proficiency in data/ML libraries such as pandas, transformers, and torch. Familiarity with the technical details of deep learning concepts, such as Transformers, Retrieval-Augmented Generation (RAG), mixture of experts (MoE). Hands-on experience in training ML systems end-to-end from data curation to evaluation and deployment. Preferred requirements: PhD in Computer Science/Engineering with 1+ years of industry experience. Publications in prestigious venues such as ACL, NAACL, EMNLP, NeurIPS, ICML, ICLR as a key author. Experience as an ML engineer in an early-stage, high growth environment. Expertise in the following areas: Embedding models, rerankers Multimodal retrieval, question answering, and reasoning Vector databases, BM25 Planning and reasoning in LLMs Multilinguality in LLMs NLG Evaluation such as hallucination detection Location requirements: We support remote applicants from all over the US but candidates who can come to the office 2-3 days a week in our Palo Alto office are preferred. Equity and Salary Range: Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business. Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives. We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning. Perks and Benefits: 100% paid Medical, Dental, Vision begins on your first day! Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time, holidays, and company rest days. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more.
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