Anthropic is looking for an Anthropic AI Safety Fellow to conduct hands-on, empirical research aimed at reducing catastrophic risks from advanced AI. This four-month fellowship provides direct mentorship from Anthropic researchers, the opportunity to work on a project aligned with our safety priorities, and the goal of producing a public output like a paper submission.
What You'll Do
- Work on an empirical project aligned with Anthropic's AI safety research priorities.
- Use external infrastructure, such as open-source models and public APIs, to conduct research.
- Produce a public output, such as a paper submission.
What We're Looking For
- Motivation to reduce catastrophic risks from advanced AI systems.
- Excitement to transition into full-time empirical AI safety research and interest in a full-time role at Anthropic.
- A strong technical background in computer science, mathematics, physics, cybersecurity, or related fields.
- Ability to thrive in fast-paced, collaborative environments.
- Capacity to implement ideas quickly and communicate clearly.
- Fluency in Python programming.
- Availability to work full-time on the Fellows program for 4 months.
- Work authorization in the US, UK, or Canada and location in that country during the program.
Nice to Have
- Experience with empirical ML research projects.
- Experience working with Large Language Models.
- Experience in one of our core research areas, such as Scalable Oversight or Adversarial Robustness.
- Experience with deep learning frameworks and experiment management.
- A track record of open-source contributions.
Technical Stack
- Python
- Open-source models
- Public APIs
- Deep learning frameworks
Team & Environment
You will receive direct mentorship from Anthropic researchers. Our culture is extremely collaborative, with frequent research discussions, and we work as a single cohesive team on large-scale research efforts.
Benefits & Compensation
- Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAN.
- Access to country-specific benefits.
- Funding for compute (~$15k/month) and other research expenses.
- Access to a shared workspace in either Berkeley, California or London, UK.
- Connection to the broader AI safety research community.
Work Mode
This is a hybrid role. Fellows can be based in London, UK, Ontario, CA, San Francisco, CA, or work remotely within the United States.
