A 6-month program focused on accelerating progress in AI safety research by providing promising talent with an opportunity to gain research experience.

Responsibilities

• Fellows will 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).
• Fellows will receive substantial support – including mentorship from Anthropic researchers, funding, compute resources, and access to a shared workspace – enabling them to develop the skills to contribute meaningfully to critical AI safety research.

Skillset

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.
• Have a strong technical background in computer science, mathematics, physics, or related fields.
• Have strong programming skills, particularly in Python and machine learning frameworks.
• Can work full-time on the fellowship for 6 months.
• Are comfortable programming in Python.
• Thrive in fast-paced, collaborative environments.
• Can execute projects independently while incorporating feedback on research direction.

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