Anthropic Fellows Program, ML Systems & Performance
$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
Machine Learning Engineer
About the job
Anthropic is seeking talented individuals for its Fellows Program, focusing on AI research and engineering to ensure AI systems are reliable, interpretable, and steerable. This program provides funding and mentorship to promising technical talent, regardless of prior experience, to work on empirical projects aligned with Anthropic's research priorities. The goal is to produce public outputs, such as paper submissions, contributing to the development of safe and beneficial AI for society. Fellows will engage in full-time research for four months, with direct mentorship from Anthropic researchers and access to a shared workspace in either Berkeley, California, or London, UK. The program also offers connections to the broader AI safety and security research community.
Responsibilities
- Conduct empirical projects aligned with Anthropic's research priorities.
- Produce public outputs, such as paper submissions.
- Work full-time on the Fellows program for 4 months, with possible extension.
- Collaborate in a fast-paced, collaborative environment.
- Implement ideas quickly and communicate clearly.
Requirements
- Strong technical background in computer science, mathematics, or physics.
- Fluent in Python programming.
- Motivated by making AI safe and beneficial for society.
- Excited to transition into empirical AI research and interested in a full-time role at Anthropic.
- Experience in areas of research or engineering related to ML Systems & Performance (preferred).
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, CA or London, UK).
- Connection to the AI safety and security research community.