Claude Jobs

Anthropic

Anthropic's Safeguards organization is responsible for developing policies, evaluations, and enforcement systems to define and manage the limits of Claude's usage. In this leadership role, you will manage the policy design team, overseeing areas such as radicalization, child safety, user well-being, harmful manipulation, and election integrity. Your team will focus on understanding and defining the risks associated with Claude, how they manifest in the real world, and the necessary mitigations. You will collaborate with research, product, and engineering teams to establish boundaries and implement interventions, ensuring safety measures evolve with model capabilities and user behaviors. This role requires a blend of expertise in harm areas and an understanding of frontier AI model development and deployment, with a strong emphasis on cross-functional collaboration and team development.

Anthropic

As an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Anthropic

Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship for claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. We're looking for an experienced engineering leader to lead a team of Connectivity engineers based in London. The Connectivity team spans San Francisco and London, and you'll work closely with engineering leadership and partner teams in San Francisco to set direction and deliver together across both sites. You'll lead a team working on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that stays up when partner servers don't.

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

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Anthropic

As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.

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. As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research.

Anthropic

Anthropic is seeking software engineers to build foundational systems for AI safety, oversight, and intervention mechanisms. In this role, you will focus on monitoring models, preventing misuse, and ensuring user well-being by developing systems to detect unwanted model behaviors and disallowed use cases. You will apply your technical expertise to uphold principles of safety, transparency, and oversight, contributing to the development of reliable, interpretable, and steerable AI systems.

Anthropic

AI Reliability Engineering (AIRE) partners with teams across Anthropic to improve reliability across our most critical serving paths, from SDKs through our network, API layers, serving infrastructure, and accelerators. This role involves jumping into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, whether during an incident or collaborating on projects. Reliability is viewed as an emergent phenomenon that transcends single team boundaries, requiring a holistic perspective across the entire system.

Anthropic

AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths, from the SDK through our network, API layers, serving infrastructure, and accelerators. This role involves jumping into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, requiring someone to zoom out and look at the whole picture, offering dynamic, cross-cutting exposure to the systems that matter most.

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

As an Applied AI team member at Anthropic India, you will serve as a Pre-Sales architect, becoming a trusted technical advisor to large enterprises across India and the Asia-Pacific region. Your role will involve helping these organizations understand the value of Claude and envision how to successfully integrate and deploy it into their technology stacks. You will combine deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while upholding Anthropic's high standards for safety and reliability. Working closely with Sales, Product, and Engineering teams, you will guide customers from initial technical discovery through successful deployment, leveraging your expertise to help them understand Claude's capabilities, develop evaluations, and design scalable architectures.

Anthropic

As an Applied AI Architect on the Startups team, you will be an exceptional technical partner to founders and engineers, helping them successfully build on the Claude Developer Platform. You'll combine deep technical expertise with a builder-first mindset to guide startups in architecting innovative LLM solutions, winning technical evaluations, and maximizing the value of Anthropic's AI systems. Working closely with sales, product, and engineering teams, you will guide startups from initial technical discovery through successful deployment and beyond, helping them understand Claude's capabilities and design effective architectures.

Anthropic

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will focus on a short list of strategic accounts within our Enterprise Technology business. For each one you will co-own the account plan with the account executive, build executive technical champions, and drive a multi-quarter adoption roadmap. You will have breadth and depth, reproducing customer environments and problems, building working solutions with them, and develop deep relationships with our engineering and product teams, all in service of each account's strategic roadmap. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Monte Carlo is seeking an Applied AI Engineer to build the products that ensure the trustworthiness of enterprise AI agents. This role involves taking ambiguous problems from research and prototyping through to production, integrating them into the platform alongside engineering and data science teams. The position is critical due to the rapid growth of agent observability, moving from a roadmap item to a revenue driver.

Rogo is transforming global finance with AI, empowering professionals at top investment firms with unparalleled speed, accuracy, and insight. We are a rapidly growing company with proven product-market fit, backed by world-class investors, and we are defining a new category of enterprise AI. Our sharp, motivated team is committed to Rogo's mission, taking ownership of complex problems and focusing on our users. We seek individuals who thrive in a fast-paced environment, demand excellence, and want to help build the future of finance.

Applied Intuition is seeking a talented Engineer to design and develop the world representation layer for their Axion simulation stack. This is a deeply technical role focused on computational geometry, real-time world modeling, and large-scale simulation. You will join a new team building foundational scene and mapping systems that are critical for downstream sensor fusion and path planning. The ideal candidate will have experience building spatial worlds for games, simulations, or autonomous systems, with a strong understanding of how to make these representations fast, accurate, and scalable under real operational constraints.

$60k - $300k

Anthropic

Anthropic's RL Data Platform team is responsible for building the systems that generate, process, and serve the human data used to train Claude. This involves creating interfaces for human feedback, developing pipelines to transform raw feedback into training signals, and providing tools for researchers to launch, monitor, and analyze data collection efforts. The team ensures a consistent supply of high-quality data, enabling researchers to collect new data types rapidly and integrate them into the training process. This is a full-stack, ownership-driven role on a senior team, requiring the engineer to design and implement web interfaces for annotators, build backend services and data pipelines, and collaborate closely with RL researchers to define and fulfill data requirements. The role emphasizes building for reliability, treating researchers as users, and ensuring the quality of the data produced.

Anthropic

Anthropic's RL Data Platform team is responsible for building and maintaining the systems that generate, process, and serve the human data used to train Claude. This involves creating interfaces for human feedback, developing pipelines to transform raw feedback into training signals, and providing tooling for researchers to manage data collection. The role is full-stack and requires ownership of projects from conception to production, focusing on reliability and user experience for both annotators and researchers. You will design and implement web interfaces, backend services, and data pipelines, working closely with researchers to understand and fulfill their data needs.

Synthesia is seeking a Principal/Staff Software Engineer to work on core enterprise platform systems, focusing on services that ensure the platform is secure, reliable, and scalable for their largest customers. This role will contribute to a new suite of APIs designed to unlock their market-leading Avatar technology for external creative tools. As an AI-native company, Synthesia leverages advanced AI assistant tools to accelerate development and automate tasks. The engineer will own projects spanning months and multiple teams, requiring the ability to break down complex problems into deliverable steps. Engineers are empowered to influence product discussions and build with user and business needs in mind, with a strong emphasis on impact. Collaboration with product, security, legal, and infrastructure partners is essential, translating business and regulatory requirements into scalable technical solutions. Work will be evaluated through system health and reliability metrics, ensuring performance, reliability, and compliance.

$30k - $40k