Anthropic Fellows Program — AI Security London, UK; Ontario, CAN; Remote-Friendly, United State[…]

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.

What to expect

• 4 months of full‑time research
• Direct mentorship from Anthropic researchers
• Access to a shared workspace (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 plus benefits (vary by country)
• Funding for compute (~$15k/month) and other research expenses

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 (possible extension).

Fellows workstreams

We have multiple workstreams across teams. Candidates may apply to any workstream and can specify preferences.

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

AI Security Fellows

This workstream focuses on reducing catastrophic risks from advanced AI systems. Candidates who:

• Have contributed to open‑source projects in LLM- or security‑adjacent repositories
• Have demonstrated success in bringing clarity and ownership to ambiguous technical problems
• Have experience with pentesting, vulnerability research, or other offensive security work
• Have experience with empirical ML research projects
• Have experience with deep learning frameworks and experiment management

Logistics

• Work authorization in the US, UK, or Canada is required.
• Fellows will work from the designated workspace in London or Berkeley (full‑ or part‑time) or remotely within those countries.
• Visa sponsorship is not available for fellows.
• Program duration is 4 months full‑time.

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