Research Engineer, Machine Learning (Reinforcement Learning)

Anthropic
London
Workplace: OnsiteFull timeGBP 1 - 1 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Problem-solving","Teamwork"]

Research Engineer in Reinforcement Learning collaborating with researchers and engineers to advance RL for large language models, blending hands-on implementation with exploration of novel training environments, infrastructure, and evaluation methods. Work spans scalable RL infrastructure, tool-use agentic models, and improving reasoning, with emphasis on safety and alignment alongside production-focused teams.

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Anthropic
Anthropic
6 months ago

Research Engineer, Machine Learning (Reinforcement Learning)

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Last checked: 10 hours agoStatus: Live

Job Summary

Research Engineer in Reinforcement Learning collaborating with researchers and engineers to advance RL for large language models, blending hands-on implementation with exploration of novel training environments, infrastructure, and evaluation methods. Work spans scalable RL infrastructure, tool-use agentic models, and improving reasoning, with emphasis on safety and alignment alongside production-focused teams.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters.
  • •Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents that push the state of the art.
  • •Drive performance improvements across the stack through profiling, optimization, and benchmarking; implement caching solutions and debug distributed systems to accelerate training and evaluation workflows.
  • •Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research.
  • •Contribute to research direction while delivering robust engineering implementations.

Pay and Benefits

Salary: GBP 1 annually
Perks:Paid LeaveParental LeaveFlexible HoursEquity

Key Requirements

  • •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.
  • •Ability to balance research exploration with engineering implementation.
  • •Enjoy pair programming and value code quality, testing, and performance.
Experience:Artificial intelligenceMachine learningResearchReinforcement learningDistributed systems
Education:Bachelor's
Skills:CommunicationProblem-solvingTeamwork
Languages:English
Tech Stack:PythonTrioPyTorchTensorFlowJAXKubernetesRustC++Distributed systems

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Anthropic
Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2021
WebsiteLinkedIn