Research Engineer, Machine Learning (Reinforcement Learning)

Anthropic · London, UK · AI Research & Engineering · listed February 11, 2026

The shape of it

Seniority
Not stated
Where
Hybrid
Requirements listed
8
Length
1,139 words

In the posting’s own words

As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.

What it asks for · 8

  • Are proficient in Python and async/concurrent programming with frameworks like Trio
  • Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX)
  • Have industry experience in machine learning research
  • Can balance research exploration with engineering implementation
  • Enjoy pair programming (we love to pair!)
  • Care about code quality, testing, and performance
  • Have strong systems design and communication skills
  • Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems

Also a plus

  • Familiarity with LLM architectures and training methodologies
  • Experience with reinforcement learning techniques and environments
  • Experience with virtualization and sandboxed code execution environments
  • Experience with Kubernetes
  • Experience with distributed systems or high-performance computing
  • Experience with Rust and/or C++
  • Formal certifications or education credentials
  • Academic research experience or publication history

Tools and skills named

Models & research
  • Reinforcement learning5×
  • LLM2×
  • Machine learning2×
  • Evaluations
  • GPU
  • JAX
  • PyTorch
  • TensorFlow
Cloud & infra
  • Distributed systems2×
  • Kubernetes
Languages
  • C++
  • Python
  • Rust
Ways of working
  • Testing2×

Words the posting leans on

  • research10×
  • experience8×
  • reinforcement learning5×
  • systems5×
  • training4×
  • design3×
  • engineering3×
  • evaluation3×
  • frameworks3×
  • implement3×
  • models3×
  • accelerate2×
  • clean2×
  • code2×
  • collaborate2×
  • developing2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 24, 2026 and last changed by Anthropic on August 21, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.