Research Engineer, Pretraining Scaling - London

About Anthropic

  • Creating reliable, interpretable, and steerable AI systems
  • Building beneficial AI systems
  • Team of committed researchers, engineers, policy experts, and business leaders

About the Role:

  • Training production pretrained models
  • Ensuring frontier models train reliably, efficiently, and at scale
  • Working at the boundary between research and engineering
  • Performance optimization, hardware debugging, experimental design, and launch coordination

Responsibilities:

  • Owning critical aspects of the production pretraining pipeline
  • Debugging and resolving complex issues across the full stack
  • Designing and running experiments to improve training efficiency
  • Responding to on-call incidents during model launches
  • Building and maintaining production logging and monitoring infrastructure
  • Collaborating with teammates across locations
  • Contributing to institutional knowledge through documentation

You May Be a Good Fit If You:

  • Have hands-on experience training large language models
  • Enjoy both research and engineering work
  • Thrive under pressure and enjoy solving hard problems
  • Excel at debugging complex, ambiguous problems
  • Communicate clearly and collaborate effectively
  • Are passionate about refining your craft as a research engineer
  • Care about the societal impacts of AI

Strong Candidates May Also Have:

  • Previous experience with large language models or ML frameworks at scale
  • Contributions to open-source LLM frameworks
  • Published research on model training or ML systems
  • Experience with production ML systems or observability tools
  • Background in roles requiring technical depth and operational excellence

What Makes This Role Unique:

  • Highly operational with hands-on experience in large training runs
  • Intense learning opportunities with world-class researchers and engineers
  • Operational intensity offers unique rewards for those who thrive in this environment

Perks and Benefits:

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space for collaboration
AI Summary ✨

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