Research Engineer, Machine Learning (RL Velocity)
Anthropic · Remote-Friendly (Travel-Required) | San Francisco, CA | New York City, NY · San Francisco, CA
CHECKED 3H AGO
Frontier labremote$500k–$850k
At a glance
Highlights
- Build core RL platform that powers how Anthropic trains models at scale.
- Remove bottlenecks across RL stack to help researchers ship better models faster.
- Own reliability and performance of research training runs end-to-end.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
Ideal candidate
A strong software engineer who loves building platforms that unblock others and thrives across research and infra. You bring high agency, low ego, and a bias for fast shipping.
Requirements
- Bachelor's degree or equivalent combination of education, training, and/or experience
- Strong software engineering fundamentals and track record building performant, reliable systems
- Experience with ML infrastructure, distributed systems, or research tooling
- Comfort operating across the stack from low-level performance work to RL algorithms
- Bias toward shipping and iterating quickly with high agency and low ego
- remote policy
- Expect staff in office at least 25% of the time, some roles may require more
- visa sponsorship
- We do sponsor visas but cannot sponsor every role; reasonable effort with immigration lawyer if offer made
- hiring process
- Applications reviewed on a rolling basis with no deadline
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