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Research Engineer, Pretraining Scaling

Anthropic· AI Research & Engineering
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San Francisco, CA$350k - $850kfull-timePosted 11mo ago

About the role

Research Engineer on Anthropic's ML Performance and Scaling team focused on production pretrained model training, ensuring reliability, efficiency, and scale across the full training stack.

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
  • Genuine enjoyment of both research and engineering work with a roughly 50/50 split
  • Willingness to be on-call for production systems, work long days during launches, and solve hard problems under pressure
  • Thrives on impactful, sometimes shifting priorities based on production model needs
  • Strong debugging of complex, ambiguous problems across multiple stack layers
  • Clear communication and effective collaboration across time zones and during high-stress incidents
  • Passion for the work and desire to refine modeling engineering craft
  • Care about societal impacts of AI and responsible scaling

Skills

Required:Large-scale ML systems
Nice to have:JAXTPUPyTorch
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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