Fellows Program, ML Systems & Reinforcement Learning
Anthropic · London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA · British Columbia, CA · London, UK · Ontario, CA · Remote-Friendly US (Travel Required) · San Francisco, CA
CHECKED 5H AGO
Frontier labremote
At a glance
Highlights
- Produce public research paper from empirical project on AI safety.
- Build CPU simulators, accelerator backends and synthetic data pipelines.
- Create RL environments to improve Claude models and safety tasks.
What they offer
- Weekly stipend + benefits
- Funding for compute (~$15k/month) and other research expenses
- Direct mentorship from Anthropic researchers
- Access to shared workspace in SF
- Connection to AI safety and security research community
Ideal candidate
Engineer-researcher motivated by safe, beneficial AI who thrives in fast-paced collaborative teams and wants to transition into empirical AI research.
Requirements
- Fluent in Python programming
- Available to work full-time for 4 months
- Work authorization in the US, UK, or Canada and located there during program
- Strong technical background in computer science, mathematics, or physics
- remote policy
- Open to remote fellows in the US, UK, or Canada
- visa sponsorship
- No visa sponsorship for fellows
- hiring process
- Initial application & reference check, technical assessments & interviews, and research discussion
Lab profile
About Anthropic
AI safety company building reliable, interpretable and steerable frontier AI systems.
What they build
- Claude
- Claude API
- Claude Code
Known for
- AI safety and alignment
- Model interpretability research
- Frontier LLM development
Key facts
- Founded in 2021
- Headquartered in San Francisco, California
- Backed by Amazon and Google