Description
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
As a Research Engineer on Anthropic's RL Scaling Science team, you will design and run large-scale experiments to understand and resolve bottlenecks, build benchmarks to measure long-horizon progress, and ship validated findings directly into production training.
This role sits at the boundary between research and engineering, with open problems, frontier-scale experiments, and a short path from results to production.
Key Responsibilities
- Design, run, and interpret large-scale RL experiments, analysing data rigorously
- Investigate how RL improves with horizon, compute, and model size growth
- Build and maintain benchmarks for long-horizon RL to ensure measurable progress
- Translate validated findings into production training recipes
- Debug complex issues at the research-infrastructure seam
- Collaborate with adjacent RL teams across research and engineering
Minimum Qualifications
- Strong empirical research skills in Reinforcement Learning or related areas
- Ability to own large experiments end-to-end
- Proficiency in Python and experience with large-scale ML systems
- Comfort operating at the research-systems boundary
- Concern for the societal impacts of AI and responsible scaling
Preferred Qualifications
- Published or shipped work in long-horizon RL or RL fundamentals
- Experience translating research into production training recipes
- Demonstrated large-scale industry impact via RL interventions
- Experience with frontier-scale training runs
Representative Projects
- Designing benchmark suites for long-horizon RL
- Stress-testing experimental findings across model scales
- Investigating unexpected scaling trends in RL runs
The annual compensation range for this role is £375,000-£640,000 GBP.
Logistics
- Minimum education: Bachelor’s degree or equivalent
- Required field of study: Relevant to the role
- Location-based hybrid policy: 25% office time
- Visa sponsorship: Available
Benefits
Anthropic offers competitive compensation, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space.