Research Engineer, Machine Learning (Reinforcement Learning)
Anthropic · London, UK
CHECKED 3H AGO
Frontier labonsite$344k–$834k
At a glance
Highlights
- Advance RL research powering autonomy and coding in Claude models.
- Build agentic models for computer use and autonomous code generation.
- Scale RL infrastructure across GPU clusters for next-gen models.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space for collaboration
Ideal candidate
A research-minded engineer who loves pairing and building high-quality scalable systems, balancing exploration with implementation to advance safe, capable agentic AI.
Requirements
- Bachelor's degree or equivalent combination of education, training and/or experience
- Proficient in Python and async/concurrent programming with frameworks like Trio
- Experience with machine learning frameworks (PyTorch, TensorFlow, JAX)
- Industry experience in machine learning research
- Can balance research exploration with engineering implementation
- Enjoy pair programming
- Care about code quality, testing, and performance
- Strong systems design and communication skills
- Passionate about safe and beneficial AI
- remote policy
- In office at least 25% of the time, with some roles requiring more
- visa sponsorship
- We do sponsor visas, but unable to successfully sponsor every role and candidate
- 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