About Anthropic

Anthropics 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.

Please apply by January 12 2026

AI Security at Anthropic

We believe we are at an inflection point for AIs impact on cybersecurity. Models are now useful for cybersecurity tasks in practice: for example Claude can now outperform human teams in some cybersecurity competitions and help us discover vulnerabilities in our own code.

We are looking for researchers and engineers to help us accelerate defensive use of AI to secure code and infrastructure.

Anthropic Fellows Program Overview

The Anthropic Fellows Program is designed to accelerate AI security and safety research and foster research talent. We provide funding and mentorship to promising technical talent - regardless of previous experience - to research the frontier of AI security and safety for four months.

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 our previous cohorts over 80% of fellows produced papers (more below).

We run multiple cohorts of Fellows each year. This application is for our next two cohorts starting in May and July 2026.

What to Expect

• Direct mentorship from Anthropic researchers
• Access to a shared workspace (in either Berkeley California or London UK)
• Connection to the broader AI safety research community
• Weekly stipend of 3850 USD / 2310 GBP / 4300 CAD & access to benefits (benefits vary by country)
• Funding for compute ($15k/month) and other research expenses

Mentors Research Areas & Past Projects

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

• Nicholas Carlini
• Keri Warr
• Evyatar Ben Asher
• Keane Lucas
• Newton Cheng

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

• AI agents find $4.6M in blockchain smart contract exploits:Winnie Xiao and Cole Killian mentored by Nicholas Carlini and Alwin Peng
• Strengthening Red Teams: A Modular Scaffold for Control Evaluations:Chloe Loughridge et al. mentored by Jon Kutasov and Joe Benton

You may be a good fit if you

• Are motivated by reducing catastrophic risks from advanced AI systems
• Are excited to transition into full-time empirical AI safety research and would be interested in a full-time role at Anthropic

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 previous cohorts over 40% of fellows received a full-time offer and weve supported many more to go on to do great work on safety at other organizations.

• Have a strong technical background in computer science mathematics physics cybersecurity or related fields
• Thrive in fast-paced collaborative environments
• Can implement ideas quickly and communicate clearly

Strong candidates may also have:

• Contributed to open-source projects in LLM- or security-adjacent repositories
• Demonstrated success in bringing clarity and ownership to ambiguous technical problems
• Experience with pentesting vulnerability research or other offensive security
• A history demonstrating desire to do the dirty work that results in high-quality outputs
• Reported CVEs or been awarded for bug bounty vulnerabilities
• Experience with empirical ML research projects
• Experience with deep learning frameworks and experiment management

Candidates must be:

• Fluent in Python programming
• Available to work full-time on the Fellows program for 4 months

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 youre interested in this work. We think AI systems like the ones were 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.

Interview process

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

Compensation

The expected base stipend for this role is 3850 USD / 2310 GBP / 4300 CAD per week with an expectation of 40 hours per week for 4 months (with possible extension).

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 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.

Applications and interviews are managed by Constellation our official recruiting partner for this program. Constellation also runs the Berkeley workspace that hosts fellows. Clicking Apply here will redirect you to Constellations application portal. You can expect to receive emails from Constellation with application updates.

Apply here

Note: We are running theSafetyandSecurityprograms in partnership with each other please only apply to the one that best matches your interests and background.

Important: Below are Anthropics policies for full time roles. Please note that these expectations (regarding visas and location) are not applicable for the fellows program. Please go straight to the link above.

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

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 arent 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. 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 youre interested in this work. We think AI systems like the ones were 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.

How were 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. Were 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 aboutour policyfor using AI in our application process