Claude Jobs

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 is seeking several Product Operations Managers to embed within its core product teams, contributing to key components of its AI stack. The Product Operations team acts as the connective tissue between Research, Product, and the market, shortening the distance between AI capabilities and user adoption. In this role, you will manage launch readiness, run early access programs, and triage customer feedback. You will also build systems to enable faster product shipping and learning, leveraging Claude to fill gaps and deliver significant value.

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 experienced, product-minded backend engineers to lead the development of systems powering user experiences across their API, Claude Code, and Claude.ai. In this role, you will independently scope complex, multi-month projects, guide technical and product decisions, and drive alignment with product, engineering, and research teams. You will make critical architectural decisions impacting the reliability and scalability of systems serving hundreds of thousands of users, and design processes to enhance team effectiveness. You will remain hands-on with code and models, contributing directly to Anthropic's mission of creating reliable, interpretable, and steerable AI systems.

Anthropic

Anthropic is seeking experienced full-stack engineers to join teams focused on current and emergent AI products. You will be a technical leader, taking end-to-end ownership of the user experience for products like Claude.ai, the Anthropic API, and enterprise deployments. This role involves partnering with product leaders, designers, and researchers to translate new model capabilities into user-facing features. You will own technical quality across the stack, including performance, accessibility, reliability, and developer experience, with the goal of scaling solutions to millions of global users. The teams are focused on various areas including developer tools, beneficial deployments for non-profits and educational institutions, vertical AI products for finance and life sciences, enterprise AI solutions, and public sector applications.

Anthropic

Anthropic is seeking experienced backend and distributed systems engineers to join the Agentic Systems team. This team builds Claude Managed Agents, a hosted platform for creating, running, and scaling production agents on Claude. The platform provides essential functionalities like agent loops, sandboxed execution, state management, credential handling, and error recovery, exposed through stable APIs. This role involves driving new features from ideation to general availability, owning systems end-to-end, and collaborating with product, research, developer experience, and go-to-market teams. The ideal candidate will be comfortable tackling complex distributed systems challenges, have a strong product sense for API design, and be motivated by transforming ambiguous ideas into high-quality platform capabilities.

Anthropic

The Auth & Identity team at Anthropic builds the core authentication, authorization, and identity platform that powers all Anthropic products, including the API, Claude Code, Claude.ai, and enterprise offerings. This platform handles every login, API key, OAuth token, access decision, and organization record. As Claude evolves into an agentic platform, this team is defining the future of identity and access for human users, service accounts, and autonomous agents acting on behalf of users. The role involves owning critical, high-traffic systems end-to-end, from design to iteration, and shaping the technical strategy for identity and access across Anthropic. This includes designing credentials for agents, routing access decisions through a unified authorization system, building a first-class identity model for service accounts and agents, ensuring global distribution and multi-region resilience, and deepening enterprise integrations.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role is at the intersection of systems engineering and security, focusing on the secure execution environment for Claude's agentic capabilities. The team owns the infrastructure that enables Claude to write code, browse the web, and use a computer, ensuring untrusted code execution is safe, fast, and reliable at scale for all Anthropic products. The goal is to create a seamless experience for product teams by providing a robust layer between the model and the outside world.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Connectivity team is focused on making Claude the most connected AI, defining how agents safely access external systems with the right permissions for enterprise trust. This involves shipping standards and services for various Anthropic products, owning the MCP proxy for tool call routing, and managing OAuth and token authentication. The team is also a core contributor to the MCP spec and maintains official Python and TypeScript SDKs. We are seeking experienced software engineers to join this team, which spans San Francisco and London, to work on critical reliability and enterprise trust challenges, including large-scale OAuth, admin controls for agent permissions, and robust proxy infrastructure.

Anthropic

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 RL Teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.6 and Opus 4.6. Our work spans several key areas: - Developing systems that enable models to use computers effectively - Advancing code generation through reinforcement learning - Pioneering fundamental RL research for large language models - Building scalable RL infrastructure and training methodologies - Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to safely write correct, fast code for accelerators. You'll need to know accelerator performance well to turn it into tasks and signals models can learn from. Specifically, you will: - Invent, design and implement RL environments and evaluations. - Conduct experiments and shape our research roadmap. - Deliver your work into training runs. - Collaborate with other researchers, engineers, and performance engineering specialists across and outside Anthropic. You may be a good fit if you: - Have expertise with accelerators (CUDA, ROCm, Triton, Pallas), ML framework programming (JAX or PyTorch). - Have worked across the stack – kernels, model code, distributed systems. - Know how to balance research exploration with engineering implementation. - Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have: - Experience with reinforcement learning. - Experience porting ML workloads between different types of accelerators. - Familiarity with LLM training methodologies. 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: $350,000—$850,000 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.

Anthropic

Anthropic is seeking experienced software engineers to join its Platform organization. This team builds the foundational primitives that accelerate product development and owns the infrastructure and systems that enable reliable, scaled product shipping for internal and external users. You will independently scope complex, multi-month projects, drive cross-organizational alignment, and make architectural decisions that shape how Anthropic builds and scales its products. You will partner directly with research to productize cutting-edge capabilities, impacting the platform used by hundreds of thousands of companies and engineers daily.

Anthropic

As a Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop scenario-based forecasting tools to quantitatively reason about economic trajectories with no historical precedent. You will work on questions of aggregate growth, income distribution, and economic governance under scenarios that most of the profession has not yet modeled seriously. You will ground projections in microeconomic signals from the Anthropic Economic Index, using usage patterns across millions of real-world AI interactions surfaced through privacy-preserving measurement, so that scenario forecasts are disciplined by observed task transformation and productivity. You will use frontier methods in growth theory, computational macro, and structural estimation, and contribute to AI-powered tools that expand what economic research can do.

Anthropic

Anthropic is building safe and beneficial AI systems, and the Billing Platform is critical to funding this mission by managing all commercial revenue. This role involves building and operating the infrastructure that processes product usage into revenue for services like Claude.ai and the Developer Platform. You will work on systems that handle pricing, charging, and revenue accounting, ensuring correctness and scalability. This is a production-critical role requiring close collaboration with Finance, Product, Sales, and Accounting teams to build robust financial infrastructure.

Anthropic

Anthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions. This is a high-agency role that spans all API Engineering teams, including API Core, API Capabilities, API Knowledge, API Distributability, and API Agents.

Anthropic

The People Products team at Anthropic is dedicated to supporting the company's mission by shaping the future of AI in the workplace. This involves optimizing hiring processes, enhancing manager effectiveness, facilitating successful onboarding, and applying first-principles thinking to Anthropic's culture through built tools. The team covers the entire employee lifecycle, from recruitment to promotions. In this role, you will work directly with Claude, leveraging unique internal capabilities to tackle unsolved problems. You will operate in a fast-paced environment, moving from prototype to production within days or weeks. We seek individuals who can think cross-functionally across product, design, and engineering, and who thrive with high autonomy, ownership, and consistent shipping. If you are passionate about fixing flawed people practices within a leading AI company, this is an exceptional opportunity.

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 seeking an Applied AI Claude Evangelist to represent the company within the startup ecosystem. This role focuses on increasing awareness and driving adoption of the Claude Developer Platform among founders and their technical teams. You will be instrumental in engaging the startup developer community, guiding them through onboarding and encouraging active building on Anthropic's platform. This position blends startup ecosystem development with hands-on technical activation, working closely with the Startups Go-To-Market team to convert relationships with VCs, accelerators, and founder communities into active developers.

Anthropic

Anthropic is seeking talented and experienced Staff+ Software Engineers to join the Developer Acceleration team within the Developer Productivity organization. This team is responsible for the infrastructure that enables thousands of employees to be productive via agents, directly impacting the velocity and quality of Anthropic's research and engineering development. You will define how AI transforms work and build the future of agentic productivity, owning areas like the Agent Runtime Platform and Knowledge systems for providing context to agents and humans.

Anthropic

Anthropic's Infrastructure organization is the engine that powers our mission, building and operating massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms. As a Technical Program Manager for Infrastructure, you will coordinate complex programs with broad organizational impact, solving novel scaling challenges while maintaining security and reliability. This role is ideal for someone who thrives in ambiguity, makes others more effective, and partners closely with engineering leadership to drive strategic initiatives and ensure seamless coordination between research, engineering, and product teams.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The AI Reliability Engineering (AIRE) team partners with other teams across Anthropic to enhance the reliability of critical serving paths, from SDKs through API layers, serving infrastructure, and accelerators. This role offers a unique, cross-cutting exposure to the most important systems at Anthropic, requiring a holistic view of system composition and reliability.