Anthropic Fellows Program

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.

Apply using this link We are accepting applications on a rolling basis for the next cohort of Anthropic Fellows, which is expected to start in late September. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the September start date doesn’t work for you.

The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent – regardless of previous experience.

Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers.

We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.

• 4 months of full‑time research
• Direct mentorship from Anthropic researchers
• Access to a shared workspace (in either Berkeley, California or London, UK)
• Connection to the broader AI safety and security research community
• Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
• Funding for compute (~$15k/month) and other research expenses

The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion.

The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).

Due to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams  expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the work streams.

Some of the work streams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current work streams below:

• AI Safety Fellows
• AI Security Fellows
• ML Systems & Performance Fellows
• Economics Fellows

• Are motivated by making sure AI is safe and beneficial for society as a whole
• Are excited to transition into empirical AI research and would be interested in a full‑time role at Anthropic
• Have a strong technical background in computer science, mathematics, or physics
• Thrive in fast‑paced, collaborative environments
• Can implement ideas quickly and communicate clearly

• Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)
• Experience in areas of research or engineering related to their workstream

• Fluent in Python programming
• Available to work full‑time on the Fellows program

Fellows will undergo a project selection & mentor matching process. Potential mentors include:
Sam Bowman, Alex Tamkin, Trenton Bricken, Samuel Marks, Kyle Fish, Ethan Perez.

Potential research areas include:

• Scalable Oversight
• Adversarial Robustness and AI Control
• Model Organisms
• Model Internals / Mechanistic Interpretability
• AI Welfare
• Open‑source circuits

You might be a particularly great fit for this workstream if you:

• Are motivated by reducing catastrophic risks from advanced AI systems
• Have experience with empirical ML research projects
• Have experience working with large language models
• Have experience in one of the research areas mentioned above
• Have a track record of open‑source contributions

Potential mentors include: (none specified previously; list omitted for brevity.)

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