Anthropic Fellows Program - AI Safety

About Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We aim for AI to be safe and beneficial for users and society as a whole.

Anthropic Fellows Program Overview

The Fellows Program fosters AI research and engineering talent by providing funding and mentorship to promising technical individuals regardless of prior experience.

Fellows will 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 such as a paper submission. Over 80% of fellows in previous cohorts produced papers.

Program Details

Program duration is 4 months, full time (40 hours per week), with possible extension. Fellows will be based in Berkeley, California or London, UK, or work remotely from the US, UK or Canada. Weekly stipend is 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits that vary by country. Fellows receive funding for compute ( $15k/month) and other research expenses.

What to Expect

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

Interview Process

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

Workstreams

1. AI Safety Fellows
2. AI Security Fellows
3. ML Systems & Performance Fellows
4. Reinforcement Learning Fellows
5. Economics & Societal Impacts Fellows

Qualifications

Across the workstreams, you may be a good fit if you:

• Are motivated by making AI 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 candidates may also have:

• 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

Candidates must be:

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

Logistics & Eligibility

Work authorization in the US, UK, or Canada is required; you must be located in that country during the program.

Visa sponsorship: We are currently not able to sponsor visas for fellows. You must have or independently obtain full time work authorization in the US, UK, or Canada.

Minimum Education

Bachelor's degree or an equivalent combination of education, training, and/or experience.