Anthropic

AI Security Fellow

Anthropic

full-time

Posted on:

Location Type: Hybrid

Location: San Francisco • California • 🇺🇸 United States

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Salary

💰 $3,850 per month

Job Level

Mid-LevelSenior

Tech Stack

Cyber SecurityPython

About the role

  • The Anthropic Fellows Program is designed to accelerate AI security and safety research, and foster research talent.
  • Provide funding and mentorship to promising technical talent - regardless of previous experience - to research the frontier of AI security and safety for four months.
  • Use external infrastructure (e.g., open-source models, public APIs) to work on an empirical project aligned with research priorities, with the goal of producing a public output (e.g., a paper submission).
  • Run multiple cohorts of Fellows each year. This application is for the next two cohorts, starting in May and July 2026.
  • 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

Requirements

  • Strong technical background in computer science, mathematics, physics, cybersecurity, or related fields
  • Motivated by reducing catastrophic risks from advanced AI systems
  • Excited to transition into full-time empirical AI safety research and would be interested in a full-time role at Anthropic
  • Fluent in Python programming
  • Available to work full-time on the Fellows program for 4 months
  • 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
Benefits
  • Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAN & access to benefits (benefits vary by country)
  • Funding for compute (~$15k/month) and other research expenses

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Pythoncomputer sciencemathematicsphysicscybersecuritypentestingvulnerability researchempirical ML researchdeep learning frameworksexperiment management
Soft skills
motivationcollaborationcommunicationclarityownershipadaptabilityproblem-solvinginitiativeresiliencefast-paced environment