Find your next AI Engineering role

Anthropic

Anthropic is at the forefront of AI development, making it a prime target for sophisticated actors. The Threat Intelligence function within the Detection & Response team is crucial for anticipating and mitigating these threats. In this role, you will be a hands-on practitioner responsible for generating actionable intelligence that guides our detection, hunting, and defensive strategies. You will track adversaries targeting AI labs, develop tools and pipelines to transform raw indicators into operational defenses, and collaborate closely with detection engineers and incident responders to ensure intelligence effectively influences security outcomes. This is a high-impact, builder-focused role on a small team, offering significant autonomy in shaping how threat intelligence is collected, analyzed, and operationalized at Anthropic.

Anthropic

Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems. This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems. We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Anthropic

Anthropic's Product Engineering organization is seeking experienced full-stack engineers to lead teams focused on current and emergent products. You will be a technical leader responsible for the end-to-end user experience across various platforms like Claude.ai, the Anthropic API, and enterprise deployments. This role involves partnering with product leaders, designers, and researchers to translate new AI capabilities into user-facing products, with a focus on technical quality, scalability, and a passion for AI's potential.

Anthropic

Anthropic is seeking a Senior Manager for Accounts Receivable, Credit & Collections to oversee the end-to-end credit and collections lifecycle for customers in the Americas. This leadership role is crucial as the company's commercial business expands. You will manage a team, define the credit and collections strategy, and drive an automation roadmap to scale cash collection efficiently. The position involves partnering with Sales, Legal, Deal Desk, and Customer Success to establish responsible credit extension and efficient collection processes. The ideal candidate will have a strong background in building operational rigor, scaling credit and collections functions through automation and AI, and a commitment to balancing customer relationships with business protection.

Anthropic

Anthropic is seeking an exceptional Detection and Response engineer to build solutions for monitoring threats, investigating incidents, and coordinating response efforts. This role offers the opportunity to shape security capabilities from the ground up alongside world-class research and security teams. The ideal candidate will be at the forefront of safeguarding advanced AI systems.

Anthropic

Anthropic is seeking a Research Operations Specialist to manage the production of risk reports, which are long-form technical documents detailing potential risks from AI models. This role involves coordinating contributions from numerous researchers, managing timelines, and ensuring the final document is cohesive and accurate. You will also perform substantive editorial work, transforming technical findings and threat models into clear prose, and ensuring consistency across various safety artifacts like system cards and Responsible Scaling Policy updates. This position requires a blend of project management and communication skills to make complex AI safety assessments accessible to a broad audience while maintaining precision.

Anthropic

As a Research Lead on the Training Insights team, you will develop the strategy for, and lead execution on, how we measure and characterize model capabilities across training and deployment. This is a hands-on leadership role where you will drive original research into new evaluation methodologies while leading a small team of researchers and research engineers. Your work will span the full lifecycle of model development, from researching and building new long-horizon evaluations to developing novel approaches for measuring emerging capabilities and deepening our understanding of how those capabilities develop. You will also take a cross-organizational view, working across various teams to map the landscape of model evaluations and identify critical gaps. This role carries significant visibility and impact, helping to shape the evaluation narrative for model releases and contributing directly to how Anthropic communicates about its models. Done well, you will change how the industry measures and understands model capabilities, significantly furthering our safety mission.

Anthropic

The Domain Scaling team aims to make Claude world-class at real-world knowledge work in domains like finance, healthcare, and legal. This role combines direct applied research with data sourcing (real-world and synthetic) to improve our models. You will own the end-to-end process of creating RL environments for new capabilities, which includes identifying high-value tasks, designing reward signals, managing vendor relationships, and measuring impact on model performance.

Anthropic

As an Economist at Anthropic, you will play a crucial role in measuring and understanding the profound effects of AI on the global economy. You will lead the development of the Anthropic Economic Index, establishing innovative methodologies to track AI's usage, diffusion, and impact using privacy-preserving tools and unique data sources. This role requires applying frontier methods in econometrics, machine learning, and structural estimation to drive significant impact, influencing both external policy discussions and Anthropic's internal business and product strategies. Our team focuses on rigorous empirical methods and novel measurement approaches, building datasets that analyze AI's influence on labor markets, productivity, and economic transformation.

Anthropic

As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's economic effects and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index, establish new methodologies to measure AI's usage, diffusion, and impact, and broaden access to the insights generated. This role involves using frontier methods in econometrics, machine learning, and structural estimation to drive impact and inform both external policy discussions and Anthropic's internal business and product decisions. The team combines rigorous empirical methods with novel measurement approaches, building datasets that track AI's impact on labor markets, productivity, and economic transformation using a privacy-preserving measurement system.

Anthropic

As a Regional Research Economist, you will collaborate with governments, academia, industry, and civil society to measure and understand AI's economic effects and explore policy interventions. You will contribute to the Anthropic Economic Index, developing new methodologies to assess AI's usage, diffusion, and impact, and broadening access to these insights. This role involves using advanced econometrics, machine learning, and structural estimation to drive impact on policy discussions and inform Anthropic's business and product strategies. The team focuses on rigorous empirical methods and novel measurement approaches, building datasets to track AI's impact on labor markets, productivity, and economic transformation using a privacy-preserving system to analyze real-world AI interactions.

Anthropic

Anthropic's Platform Org is dedicated to empowering builders through AI. Our vision is to establish the premier platform for businesses seeking to transform themselves and their products with AI. This organization is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure, serving a diverse user base from startups to large enterprises. The platform team focuses on three key areas: enterprise fabric for multi-cloud integrations at scale, frontier capabilities for advanced developer experiences, and agentic platform for next-generation agentic infrastructure and products.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. As a Product Manager focused on Developer Productivity, you will partner with Infrastructure, Inference, Research, and Product Engineering teams to develop the systems that enable thousands of engineers and researchers to build, test, and ship code. Your work will directly impact engineering velocity by defining abstractions for code development, establishing metrics to identify friction, and making trade-offs to ensure a rapidly scaling organization ships with confidence. You will drive the evolution of our developer platform as AI agents become autonomous collaborators, redefining developer productivity in an AI-native world.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. As a Product Manager focused on Compute Platform, you will partner with Infrastructure, Compute Operations, Engineering, Finance & Strategy, and Research teams. Your role will be to build the scheduling, orchestration, and capacity management systems that power Anthropic’s compute infrastructure, which is essential for all model training, evaluation, and inference workloads.

Anthropic

As a Product Manager on Claude Code's model performance team, you will drive model launches end-to-end, build evals that measure what matters, and partner directly with researchers and product engineers to translate model improvements into developer-facing outcomes. Claude Code is the most capable coding agent in the world, and this role is crucial for extracting its maximum performance. You will act as the connective tissue between frontier research and the millions of developers who depend on Claude Code.

Anthropic

Anthropic's Human Data Platform team is responsible for building systems that enhance our AI models by collecting crucial data. This involves creating infrastructure for simulating real-world environments and tasks, developing innovative interfaces for data vendors, and establishing pipelines for researchers to acquire high-quality data efficiently. As the real-world application of Claude expands, so does the need for sophisticated data collection tools. This role will collaborate closely with a fast-paced engineering team, contribute to strategic decision-making, and ensure investments are made in scalable tooling. The position requires working across research teams, data operations, and external vendors to translate insights into actionable product direction.

Anthropic

Anthropic's inference fleet serves Claude to millions of users across its own products and major cloud platforms. The stack supporting this is complex, involving accelerator kernels, model servers, distributed routing, autoscaling, and capacity management, where each layer's performance impacts the others. The Inference System Dynamics team is tasked with understanding this entire system and ensuring high performance across throughput, latency, reliability, and correctness. This involves measuring fleet performance against theoretical limits, investigating performance gaps, and owning correctness checks to ensure Claude's outputs are accurate across various hardware and serving configurations. The team focuses on identifying high-leverage optimization opportunities across components and collaborating with owning teams to implement them, treating correctness as an integral part of performance.

Anthropic

Pioneering the next generation of AI requires breakthrough innovations in GPU performance and systems engineering. As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible for maximizing GPU utilization and performance at unprecedented scale, developing cutting-edge optimizations that directly enable new model capabilities and dramatically improve inference efficiency. Working at the intersection of hardware and software, you'll implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack—from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization. Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. As a Performance Engineer, you will identify and solve novel systems problems that arise from running machine learning (ML) algorithms at scale. You will develop systems to optimize the throughput and robustness of our largest distributed systems. This role requires a strong track record of solving large-scale systems problems and a desire to become an expert in ML.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role will manage the broad sourcing operations essential for Anthropic's global data center infrastructure, encompassing compute, networking, racks, mechanical components, cabling, and the associated supplier ecosystem. The successful candidate will ensure timely delivery of hardware to the correct sites under favorable terms, acting as the operational owner for these critical infrastructure elements.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. We are a growing team of researchers, engineers, policy experts, and business leaders dedicated to this mission. We are seeking a Staff Software Engineer to lead technical direction at the intersection of engineering and research for the Claude Code team. In this role, you will collaborate with researchers and engineering leadership to define how we measure, understand, and enhance Claude's coding abilities. You will architect the systems, tooling, and evaluation infrastructure that accelerate our research progress and be responsible for technical decisions impacting the team and beyond. This senior individual contributor position is for someone with a proven track record of building and owning large-scale systems, ready to take on a technical leadership role by driving architecture, mentoring engineers, and influencing the future of Claude Code.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. We are seeking a Machine Learning Infrastructure Engineer to join our Safeguards organization. In this role, you will build and scale the critical infrastructure that powers our AI safety systems, working at the intersection of machine learning, large-scale distributed systems, and AI safety. You will develop the platforms and tools that enable our safeguards to operate reliably at scale and directly contribute to making AI systems more trustworthy and aligned with human values.

Anthropic

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.

Anthropic

Anthropic is making significant, sustained investment in compute infrastructure to support its AI safety mission. The company is seeking an Infrastructure Tax Lead to manage tax end-to-end across this portfolio. This role will be integrated with the Infrastructure team, involved from the initial deal flow, and will coordinate with various departments including Legal, Technical Accounting, FP&A, International Tax, Transfer Pricing, Provision, and Incentives. The Infrastructure Tax Lead will be responsible for shaping deals from a tax perspective, leading incentive workstreams, and ensuring tax implications are accurately reflected in economic analyses and deal approvals.

Anthropic

Anthropic is seeking a Head of Consolidations & Intercompany to lead and expand its consolidation program and group-level intercompany framework. This is a hands-on, builder's role where you will design, document, codify, and scale processes, starting as a player-coach before building out a team. You will partner closely with the Head of Corporate Accounting on strategic direction and work across departments to ensure efficient and accurate financial operations as the company grows.

Anthropic

Anthropic is seeking an experienced Global Senior Equity Program Manager to oversee and manage the company's equity compensation strategy and operations across all global markets. This role is crucial for designing, implementing, and managing comprehensive equity programs aimed at attracting, retaining, and motivating top talent, while aligning with the company's mission to develop safe and beneficial AI systems. The position involves close collaboration with People, Legal, Finance, and Tax teams to ensure programs are competitive, compliant, and reflect the company's values. As Anthropic expands internationally, this role will be instrumental in building equity frameworks that support global growth and maintain consistency with the overall compensation philosophy, offering a unique opportunity to shape equity compensation practices during a significant growth phase.

Anthropic

As a Full-Stack Software Engineer in Reinforcement Learning (RL), you will be instrumental in building the platforms, tools, and interfaces essential for environment creation, data collection, and training observability. Your work will directly impact the quality of data used to train Anthropic's next-generation AI models. You will own product surfaces from end-to-end, encompassing backend services, APIs, and web UIs used by researchers, external vendors, and data labelers. The role emphasizes shipping polished, reliable products quickly, even when faced with ambiguous, high-stakes problems. This team operates at a rapid pace, focusing on judgment and taste to meet researcher needs, iterating on data collection strategies to distill expert knowledge into models within short feedback loops.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Interpretability team focuses on mechanistic interpretability, aiming to reverse engineer how trained models work by discovering how neural network parameters map to meaningful algorithms. This role supports a team of expert researchers and engineers dedicated to understanding the internal workings of large language models at a deep, mechanistic level. The manager will play a critical role in ensuring the team meets its ambitious safety research goals by partnering with an individual contributor research lead to drive team success, translate research ideas into tangible goals, and oversee execution. Responsibilities include managing team execution, careers, performance, facilitating inter-team relationships, and driving the hiring pipeline.

Anthropic

Anthropic is seeking an Engineering Manager to lead their Review Tooling team, which is responsible for building systems that help humans and AI investigate potential harms and take enforcement actions across Anthropic's products. This foundational role involves owning the tools safety investigators rely on, including analytics, privacy-preserving primitives, and a sandbox environment for rapid iteration. The manager will also drive the strategy for scaling review through automation, enabling Claude to extend human reviewer capabilities while keeping people in the loop for critical judgment. This position requires close collaboration with policy, operations, data science, and legal teams to ensure effective, accurate, and trustworthy enforcement systems.

Anthropic

Anthropic's Research Tools team builds systems that support large-scale, distributed finetuning runs and improve researcher productivity. As a manager, you will lead a team of machine learning and distributed systems experts to enhance the efficiency of these systems and tools, facilitate rapid iteration on model development and research, and continuously evolve the infrastructure to integrate new research advancements. This role is central to Anthropic's technical operations, requiring collaboration with research teams to integrate their innovations into the production finetuning pipeline, product teams for customer-oriented model improvements, and infrastructure teams to optimize training runs and data pipelines.

Anthropic

Anthropic's performance and scaling teams are dedicated to optimizing compute resources for both inference and training. As an Engineering Manager on these teams, you will lead efforts to identify and eliminate bottlenecks, develop resilient and scalable solutions, and enhance system efficiency. You will also provide clear direction, focus, and context to your team within a fast-paced, evolving environment. This role requires a leader who can guide engineering initiatives to improve model performance and scale inference and training systems, while also contributing technically to the team's stack.

Anthropic

Anthropic's performance and scaling teams focus on making the most efficient and impactful use of our compute resources for inference and training. As an Engineering Manager on these teams, you will be responsible for identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems. You will also help bring clarity, focus, and context to your teams in a fast-paced, dynamic environment.

Anthropic

We are hiring an Engineering Manager to lead a team of engineers building AI-powered cybersecurity products. The work spans research, product, and go-to-market. Your team will prototype and ship products that use frontier models to defend code and infrastructure. You will set technical direction, partner with research to turn new model capabilities into products, and stay close to customers so the team builds the right things. This is a builder's role where you should expect to be in the code, in customer calls, and in research reviews the same week. You also need to scale the team without losing the prototyping energy that got the product here.

Anthropic

Anthropic is seeking a senior Design Engineer to join their Brand Web team. This role sits at the intersection of design and engineering, focusing on shaping the development of Anthropic's web properties, including significant portions of anthropic.com and claude.com. You will be responsible for interactive marketing pages, data visualization systems, and internal tooling for content operations. The position involves working collaboratively with designers, engineers, and brand/content teams, setting technical direction, and partnering with platform and product engineering on underlying infrastructure. Rapid prototyping and moving from concept to production with speed and craft are key aspects of this role.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role focuses on a new generation of Customer Success, where outcomes are primarily delivered through programs and automation, rather than 1:1 relationships. As a Success Programs Manager, you will own a portfolio of these programs, driving adoption and value at scale. You'll leverage AI, specifically Claude, to build automated journeys and agents, while also being skilled in running traditional engagements like webinars, onboarding cohorts, and communities. The goal is to design and ship programs that guide customers from activation to value realization, expansion, and renewal, treating each program as a compounding asset with measurable impact.

Anthropic

Anthropic is seeking talented individuals for its Fellows Program, designed to foster AI research and engineering talent. The program provides funding and mentorship to promising technical individuals, regardless of prior experience, to work on empirical projects aligned with Anthropic's research priorities. The goal is to produce public outputs, such as paper submissions. Fellows will primarily utilize external infrastructure like open-source models and public APIs. The program emphasizes AI safety and beneficial AI development for society.

$25k - $50k

Anthropic

Anthropic is seeking talented individuals for its Fellows Program, focusing on AI research and engineering. This program provides funding and mentorship to promising technical talent, regardless of prior experience, to work on empirical projects aligned with Anthropic's research priorities. The goal is to produce public outputs, such as research papers, contributing to the development of reliable, interpretable, and steerable AI systems that are safe and beneficial for society. Fellows will engage in full-time research for four months, with opportunities for extension, and will be mentored by Anthropic researchers.

$25k - $50k

Anthropic

Anthropic is seeking talented individuals for its Fellows Program, focusing on AI research and engineering to ensure AI systems are reliable, interpretable, and steerable. This program provides funding and mentorship to promising technical talent, regardless of prior experience, to work on empirical projects aligned with Anthropic's research priorities. The goal is to produce public outputs, such as paper submissions, contributing to the development of safe and beneficial AI for society. Fellows will engage in full-time research for four months, with direct mentorship from Anthropic researchers and access to a shared workspace in either Berkeley, California, or London, UK. The program also offers connections to the broader AI safety and security research community.

$25k - $50k

Anthropic

Anthropic is seeking talented individuals for the Anthropic Fellows Program, focusing on AI Security. This program is designed to foster AI research and engineering talent by providing funding and mentorship to promising individuals, regardless of prior experience. Fellows will work on empirical projects using external infrastructure, aiming to produce public outputs like research papers. The program offers a structured 4-month full-time research period with direct mentorship from Anthropic researchers, access to a shared workspace in Berkeley or London, and connections to the AI safety and security research community.

$25k - $50k