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Research Engineer, Pretraining Scaling - London

Anthropic· AI Research & Engineering
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London, UK£260k - £630kfull-timePosted 11mo ago

About the role

Research Engineer role focused on production pretraining of large language models, ensuring reliable, efficient, and scalable training across the production stack with strong on-call and collaboration across teams and offices (London and SF).

Responsibilities

  • Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability
  • Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure
  • Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance
  • Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams
  • Build and maintain production logging, monitoring dashboards, and evaluation infrastructure
  • Add new capabilities to the training codebase, such as long context support or novel architectures
  • Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams
  • Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned

Qualifications

  • Hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems
  • Enjoys both research and engineering work with a balanced split
  • Willingness to be on-call for production systems, work long days during launches, and solve hard problems under pressure
  • Thrives when working on high-impact, variable priority work across the production model needs
  • Strong debugging skills for complex, ambiguous problems across stack layers
  • Clear communication and collaboration, especially across time zones during high-stress incidents
  • Passion for ML engineering craft and responsible AI scaling
  • Care about societal impacts of AI and responsible scaling

Skills

Required:Large-scale ML trainingJAX/TPU/PyTorch

Benefits

  • Competitive compensation
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space
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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