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Research Engineer, RL Scaling Science

Anthropic· AI Research & Engineering
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Hybrid (London, UK)£375k - £640kfull-timePosted 4mo ago

About the role

Anthropic role focused on studying how reinforcement learning scales and translating findings into production training recipes. Boundary role between research and engineering, designing large-scale experiments, building benchmarks, and shipping validated results into production.

Responsibilities

  • Design, run, and interpret large-scale RL experiments, reasoning rigorously about what the data does and doesn't show
  • Investigate how RL improves as horizon, compute, and model size grow
  • Build and maintain benchmarks for long-horizon RL so progress is measurable and reproducible
  • Translate validated findings into production training recipes, exercising judgment about when a result is robust enough to ship
  • Debug complex issues at the seam where research meets infrastructure - failures that only appear at scale
  • Partner closely with adjacent RL teams across research and engineering and advance our overall RL stack

Qualifications

  • Strong empirical research skills in Reinforcement Learning, large-scale ML training, or a closely adjacent area
  • Demonstrated ability to own large experiments end-to-end, from design through interpretation
  • Proficiency in Python and experience working with large-scale or distributed ML systems
  • Comfort operating at the research/systems boundary, including debugging where the two meet
  • Care about the societal impacts of AI and responsible scaling

Skills

Required:Reinforcement LearningLarge-scale ML trainingPythonExperiment design and interpretationSystems debugging at scaleSocietal impact awareness

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space (London)
Last updated Jul 8, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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