AI Security Fellow

🕒 December 11, 2025

🏢🏡 San Francisco – Hybrid

💵 $3.9k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

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Anthropic

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Anthropic is an AI safety and research company based in San Francisco. The company focuses on developing research and creating reliable, beneficial AI systems. It offers products such as the Claude AI model, designed to be safe and efficient for enterprise use, and provides tools like the Claude API to help drive efficiency and create new revenue streams for businesses. Anthropic places a strong emphasis on AI safety, aligning its work with principles of harmlessness and ethical AI deployment.

📋 Description

• 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