About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We aim to make AI safe and beneficial for users and society. Our team includes researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Apply using this link: https://bit.ly/afpsafety. 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.

This page is specific to one of the Anthropic Fellows Workstreams. See the main Anthropic Fellows posting.

Anthropic Fellows Program overview

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 an earlier cohort, 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.

What to expect

• 4 months of full-time research
• Direct mentorship from Anthropic researchers
• Access to a shared workspace (Berkeley, CA 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 (varies 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.

We encourage you to apply even if you do not meet every qualification. Not all strong candidates meet every listed qualification. We value diverse perspectives and encourage applicants from underrepresented groups to apply.

Compensation

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 (extension possible).

Fellows workstreams

Anthropic is expanding its Fellows program across teams. There may be significant overlap in skills and responsibilities across workstreams, and candidates may be considered for all workstreams by default.

Some workstreams may include unique assessment steps; please indicate your workstream preferences in the application. An overview of current workstreams:

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

This page is specific to one of the Anthropic Fellows Workstreams. See the main Anthropic Fellows posting.

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

• Are motivated by making AI safe and beneficial for society
• Are excited to transition into empirical AI research and are 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:

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

Candidates must be:

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

AI Safety Fellows

Mentors, research areas, & past projects

Fellows will undergo a project selection and mentor-matching process. Potential mentors include:

• Sam Bowman
• Sara Price
• Alex Tamkin
• Nina Panickssery
• Trenton Bricken
• Logan Graham
• Jascha Sohl-Dickstein
• Joe Benton
• Collin Burns
• Fabien Roger
• Samuel Marks
• Kyle Fish
• Ethan Perez

Mentors will lead projects in AI safety research areas, such as:

• Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence.
• Adversarial Robustness and AI Control: Ensuring advanced AI systems remain safe in unfamiliar or adversarial scenarios.
• Model Organisms: Creating model organisms of misalignment to study alignment failures.
• Model Internals / Mechanistic Interpretability: Advancing understanding of internal workings of large language models for targeted interventions.
• AI Welfare: Understanding AI welfare and developing related evaluations and mitigations.

For past projects, see our Alignment Science and Frontier Red Team blogs. Representative projects include:

• Subliminal Learning: Language Models Transmit Behavioral Traits via Hidden Signals in Data
• Open-source circuits

Full lists of representative projects are available in blog posts: Introducing the Anthropic Fellows Program for AI Safety Research, Recommendations for Technical AI Safety Research Directions.

Unique candidate criteria

You might be a particularly strong fit 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

Logistics

Logistics requirements

To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.

Workspace locations

We have designated shared workspaces in London and Berkeley where fellows will work from, and mentors will visit. We are open to remote fellows in the UK, US, or Canada. We will ask about your availability to work from Berkeley or London (full- or part-time) during the program.

Visa sponsorship

We are not currently able to sponsor visas for fellows. To participate, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.

Program duration

The program runs for 4 months, full-time. If you cannot commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.

Please note: We do not guarantee full-time offers to fellows. Strong performance during the program may indicate fit for full-time roles at Anthropic. In previous cohorts, 25–50% of fellows received a full-time offer.

Applications and interviews are managed by Constellation, our recruiting partner. Clicking "Apply here" will take you to their portal. Constellation also runs the Berkeley workspace and supports fellows working on AI safety and security; fellows on capabilities-focused projects are supported directly by Anthropic. All applicants use the same application portal, with future plans to separate safety/security and capabilities-focused project applications.

Apply here

Apply here

Note: The below are Anthropic's policies for full-time roles. These do NOT apply to the Fellows Program.

Logistics (Full-time roles)

Minimum education: Bachelor’s degree or equivalent

Required field of study: A field relevant to the role, demonstrated through coursework, training, or professional experience

Minimum years of experience: As per internal job level requirements

Location-based hybrid policy: Most roles require presence in an office at least 25% of the time; some roles may require more.

Visa sponsorship: Anthropic does sponsor visas. We will make reasonable efforts to obtain a visa for offers, with support from an immigration lawyer.

Application note: We encourage you to apply even if you do not meet every qualification. We value diverse perspectives and encourage applicants from underrepresented groups to apply. For guidance on safety, see our AI usage policy.