Engineering Manager GPU ML Accelerator

AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.

San Francisco, United States
About Anthropic

Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will provide front-line leadership for work that improves model performance and scales inference and training systems. You will manage execution and priorities, make targeted technical contributions, develop your reports, and maintain an understanding of the team's technical work and its AI-safety implications.

Requirements

  • 1+ years of management experience in a technical environment
  • Background in machine learning, AI, or a related technical field
  • Experience with performance or distributed systems
  • Ability to understand complex technical topics
  • Experience managing teams through rapid growth and change

Responsibilities

  • Lead engineering efforts to improve model performance and scale inference and training systems
  • Make targeted individual-contributor contributions to the technical stack
  • Manage day-to-day team execution
  • Prioritize work and manage projects in a dynamic environment
  • Coach reports on professional growth
  • Maintain understanding of technical work and its AI-safety implications

Benefits

  • Equity donation matching
  • Generous vacation
  • Parental leave
  • Flexible working hours
Engineering Manager GPU ML Accelerator at Anthropic | JobStash