Anthropic→
Anthropic Fellows Program — AI Safety at Anthropic · San…
InternshipHybridFull-timeSan Francisco Bay Area$200k–$200k/yr
Skills
python programmingempirical machine learning researchlarge language modelsai safety researchai security researchreinforcement learningeconomicssocial sciencescybersecurityopen-source contributions
Job Description
Summary: Anthropic is a public benefit corporation focused on creating reliable and beneficial AI systems. The Anthropic Fellows Program aims to foster AI research and engineering talent by providing funding and mentorship for projects aligned with the company's research priorities.
Responsibilities:
- Use external infrastructure to work on an empirical project aligned with research priorities
- Produce a public output such as a paper submission
- Participate in project selection and mentor matching process
- Engage with the AI safety and security research community
Required Qualifications:
- Fluent in Python programming
- Available to work full-time on the Fellows program
- Are motivated by making sure AI is safe and beneficial for society as a whole
- Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic
- Have a strong technical background in computer science, mathematics, or physics
- Thrive in fast-paced, collaborative environments
- Can implement ideas quickly and communicate clearly
- Logistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program
Preferred Qualifications:
- Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)
- Experience in areas of research or engineering related to their workstream
- Are motivated by reducing catastrophic risks from advanced AI systems
- Have experience with empirical ML research projects
- Have experience working with large language models
- Have experience in one of the research areas mentioned above
- Have a track record of open-source contributions
Required Skills: Python programming, Empirical machine learning research, Large language models, AI safety research, AI security research, Reinforcement learning, Economics, Social sciences, Cybersecurity, Open-source contributions
Benefits: Funding for compute (~$15k/month) and other research expenses, Optional equity donation matching, Generous vacation and parental leave, Flexible working hours
Benefits
Funding for compute (~$15k/month) and other research expenses
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours