Anthropic Jobs

Anthropic

Anthropic is dedicated to building reliable, interpretable, and steerable AI systems that are safe and beneficial for society. As a Research Engineer on the Discovery Team, you will work end-to-end to identify and address key blockers on the path to scientific Artificial General Intelligence (AGI). This role involves improving models' abilities to use computers, acting as a laboratory for long-horizon tasks and a crucial component for scientific workflows. You will collaborate with a team of researchers and engineers focused on pushing the scientific frontier.

Anthropic

Anthropic is seeking candidates for its Fellows Program, designed to cultivate AI research and engineering talent. This program provides funding and mentorship to promising individuals, irrespective 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, with a strong track record of fellows achieving this in previous cohorts. The program offers a 4-month full-time research period, direct mentorship from Anthropic researchers, access to a shared workspace in Berkeley or London, and connections to the AI safety and security research community. Applications are reviewed on a rolling basis for cohorts starting in July 2026 and beyond.

$25k - $50k

Anthropic

Anthropic is seeking talented individuals for its Fellows Program, focusing on AI Safety. This program aims to foster AI research and engineering talent by providing funding and mentorship to promising individuals, regardless of prior experience. Fellows will engage in empirical projects using external infrastructure and open-source models, with the goal of producing public outputs like research papers. The program offers a structured 4-month full-time research period, direct mentorship from Anthropic researchers, access to shared workspaces in Berkeley or London, and connections to the AI safety community. The program is designed to encourage diverse perspectives and applications, even from those who may not meet every single qualification.

$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

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 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, 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 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

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. 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

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.