Research Engineer, RL Engineering
Anthropic · San Francisco, CA | New York City, NY | Seattle, WA · San Francisco, CA
CHECKED 4H AGO
Frontier labonsite$500k–$850k
At a glance
Highlights
- Build critical algorithms and infrastructure that train Claude models.
- Improve speed, reliability and ease-of-use of finetuning systems.
- Diagnose slowdowns and make training work on new architectures.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
Ideal candidate
A results-oriented systems builder who loves making researchers more productive through pairing and impact-focused work, eager to learn ML research and motivated by building safe, beneficial AI.
Requirements
- 4+ years of software engineering experience
- Bachelor's degree or equivalent combination of education, training, and/or experience
- Experience with high performance, large scale distributed systems
- Experience with large scale LLM training
- Experience with Python
- Experience implementing LLM finetuning algorithms such as RLHF
- remote policy
- Expected to be in one of our offices at least 25% of the time
- visa sponsorship
- We do sponsor visas, with reasonable effort to get a visa if an offer is made
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