Anthropic Fellows Program, AI Safety
$25k - $50k • Remote • London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA
Posted 16d ago
Job Location
London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA
Tech Stack
Remote Work Policy
Fully remote
Categories
Applied AI Engineer
About the job
Anthropic is seeking talented individuals for its Fellows Program, focusing on AI Safety. This program aims to foster AI research and engineering talent by providing funding and mentorship to promising individuals, regardless of prior experience. Fellows will engage in empirical projects using external infrastructure and open-source models, with the goal of producing public outputs like research papers. The program offers a structured 4-month full-time research period, direct mentorship from Anthropic researchers, access to shared workspaces in Berkeley or London, and connections to the AI safety community. The program is designed to encourage diverse perspectives and applications, even from those who may not meet every single qualification.
Responsibilities
- Conduct empirical projects aligned with AI safety research priorities.
- Produce public outputs, such as paper submissions.
- Work full-time on the Fellows program for 4 months, with possible extension.
- Collaborate in fast-paced, collaborative environments.
- Implement ideas quickly and communicate clearly.
Requirements
- Strong technical background in computer science, mathematics, or physics.
- Fluent in Python programming.
- Motivation to ensure AI is safe and beneficial for society.
- Interest in transitioning into empirical AI research.
- Strong background in a discipline relevant to a specific Fellows workstream (e.g., economics, social sciences, cybersecurity) is a plus.
- Experience in research or engineering related to a workstream is a plus.
Benefits
- Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD.
- Funding for compute (~$15k/month).
- Funding for other research expenses.
- 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.