Fellows Program, AI Security

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.

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 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.

• 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 (vary by country)
• Funding for compute (≈$15k/month) and other research expenses

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

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).

We expect there to be significant overlap in the types of skills and responsibilities across the roles and will consider candidates for all the work streams by default. Some work streams may include unique assessment steps; please indicate workstream preferences in your application.

• Motivated by making sure AI is safe and beneficial for society as a whole
• Excited to transition into empirical AI research and would be interested in a full‑time role at Anthropic
• Strong technical background in computer science, mathematics, or physics
• Thrives in fast‑paced, collaborative environments
• Can implement ideas quickly and communicate clearly

• 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

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

Fellows will undergo a project selection & mentor matching process. Potential mentors include:
Nicholas Carlini, Keri Warr, Evyatar Ben Asher, Keane Lucas, Newton Cheng.

• Motivated by reducing catastrophic risks from advanced AI systems
• 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 work
• Willing to conduct the “dirty work” that produces high‑quality outputs
• Reported CVEs or been awarded bug bounties
• Experience with empirical ML research projects
• Experience with deep learning frameworks and experiment management

• Must have work authorization in the US, UK, or Canada and be located in that country during the program.
• Designated shared work spaces in London and Berkeley; remote fellows in the UK, US, or Canada are also accepted.
• No visa sponsorship; applicants must hold or independently obtain full‑time work authorization.
• Program runs for 4 months, full‑time. Requests for shorter commitments are considered on a case‑by‑case basis.
• We do not guarantee full‑time offers after the program. However, strong performance may indicate a good fit for full‑time roles. In previous cohorts,…