Anthropic Fellows Program — AI Safety

Anthropic

Canada, United Kingdom, United StatesPosted 13 days agoDiscoveredMatch locked

RemoteIntern

About Anthropic

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.

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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 also 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 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.

What to expect

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

Interview process

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

We encourage you to apply even if you do not believe you meet every single qualification.

Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

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 (with possible extension).

Fellows workstreams

Due to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic . We 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 workstreams. Some of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current workstreams below:

AI Safety Fellows

AI Security Fellows

ML Systems & Performance Fellows

Reinforcement Learning Fellows

Economics & Societal Impacts Fellows

This page is specific to one of the Anthropic Fellows Workstreams, see also the main

Anthropic Fellows posting

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

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 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

Mentors, research areas, & past projects

Fellows will undergo a project selection & 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

Our mentors will lead projects in select 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 in various domains. •

Adversarial Robustness and AI Control

Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. •

Model Organisms

Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. •

Model Internals / Mechanistic Interpretability

Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. •

AI Welfare

Improving our understanding of potential AI welfare and developing related evaluations and mitigations.

On our Alignment Science and Frontier Red Team blogs, you can read about past projects, including:

Subliminal Learning: Language Models Transmit Behavioral Traits via Hidden Signals in Data: Alex Cloud and Minh Le, et al., mentors including Samuel Marks and Owain Evans

Open-source circuits: Michael Hanna and Mateusz Piotrowski with mentorship from Emmanuel Ameisen and Jack Lindsey

For a full list of representative projects for each area, please see these 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 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

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 also open to remote fellows in the UK, US, or Canada

. We will ask you 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 in the Fellows program, 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 can't 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 that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic . In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations. Applications and interviews are managed by Constellation, our recruiting partner. Clicking "Apply here" will take you to their portal, and updates will come from a Constellation address. Constellation also runs the Berkeley workspace and provides program support for fellows working on AI safety and security; fellows on capabilities-focused projects are supported directly by Anthropic . All applicants currently use the same application portal but we are working to separate applications for safety/security and capabilities focused projects in future rounds.

Apply here

The below are Anthropic 's policies for full time roles. These do

NOT

apply to the Fellows Program.

Minimum education

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

Required field of study

A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience

Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy

Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship

We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.

Your safety matters to us.

To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic . Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic , including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Guidance on Candidates' AI Usage

Learn about our policy for using AI in our application process. Originally posted on Himalayas

Not included in the source posting: what you'll do.

Skills

artificial-intelligencemachine-learningcybersecuritygopython

Who can apply

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