Research Engineer, Machine Learning (RL Velocity)
Anthropic · London, UK
CHECKED 4H AGO
Frontier labonsite$490k–$834k
At a glance
Highlights
- Build the core RL platform underpinning how Anthropic trains models.
- Own efficiency and reliability of RL systems to accelerate research velocity.
- Remove bottlenecks across the RL stack to ship better models faster.
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 energized by platform leverage who cares about unblocking researchers, working across the stack with high agency, low ego and a bias to ship and iterate quickly.
Requirements
- Strong software engineering fundamentals and track record building performant, reliable systems
- Experience with ML infrastructure, distributed systems, or research tooling
- Comfortable operating across the stack, from low-level performance work to RL algorithms
- Cares about enabling others work through platforms with high agency and bias to ship
- Bachelor's degree or equivalent combination of education, training and experience
- remote policy
- Hybrid: expected in office at least 25% of the time
- visa sponsorship
- Visa sponsorship offered where possible, but not guaranteed for every role and candidate
- hiring process
- No application deadline; applications reviewed on a rolling basis
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