Anthropic Fellows Program

📍 Canada
📍 United States
📍 London, United Kingdom
📍 Berkeley, United States
📍 San Francisco, United States

USD 200,200 per year

MIDDLE

✅ Remote ✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 API Deep Learning @ 6 Distributed Systems @ 6 HPC LLM Machine Learning @ 6 Mathematics @ 6 Pentesting @ 6 Python @ 5 Reinforcement Learning Security

Details

The Anthropic Fellows Program supports promising AI research and engineering talent through four months of full-time empirical research, mentorship from Anthropic researchers, and funding for compute and other research expenses. Fellows primarily use external infrastructure, such as open-source models and public APIs, and work toward a public output such as a paper submission. Applications are reviewed on a rolling basis for the cohort expected to start in January 2027.

Responsibilities

Conduct empirical AI research aligned with Anthropic's research priorities.
Implement research ideas quickly and communicate results clearly.
Produce a public research output, such as a paper submission.
Participate in project selection and mentor matching.
Potential workstreams include AI safety, AI security, ML systems and performance, reinforcement learning, and economics and policy research.
Depending on the workstream, projects may involve scalable oversight, adversarial robustness, mechanistic interpretability, vulnerability research, distributed ML systems, high-performance computing, reinforcement learning environments, or empirical research on AI's economic and societal effects.

Requirements

Fluent Python programming skills.
Availability to work full-time for the four-month program.
A strong technical background in computer science, mathematics, or physics.
Motivation to help ensure that AI is safe and beneficial for society.
Ability to work in a fast-paced, collaborative environment.
Strong candidates may also have experience with empirical machine learning research, large language models, deep learning frameworks, experiment management, complex ML systems, distributed systems, high-performance computing, cybersecurity, pentesting, vulnerability research, economics, or policy research.
Participants must have full-time work authorization in the United States, United Kingdom, or Canada and be located in that country during the program.

Benefits

Weekly stipend of 3,850 USD, 2,310 GBP, or 4,300 CAD, plus country-specific benefits.
Funding for compute of approximately 15,000 USD per month and other research expenses.
Direct mentorship from Anthropic researchers.
Access to shared workspaces in Berkeley, California, or London, United Kingdom.
Connection to the broader AI safety and security research community.
Possible extension beyond the four-month program.

Anthropic is not currently able to sponsor visas for Fellows. The program does not guarantee a full-time offer, although strong performance may lead to future opportunities.