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Research Lead, Training

Goodfire AI· Research and Development
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Hybrid (San Francisco, CA / New York, NY)$400k - $600kUnknownPosted 3mo ago

About the role

Lead Goodfire's model training organization, define the research agenda for training capable, aligned, and interpretable AI systems, and build and mentor a world-class research team.

Responsibilities

  • Lead Goodfire’s training organization and manage a high-performing team from day one
  • Set direction for model training as Goodfire develops and deploys its own models
  • Drive execution on post-training and model improvement work, with accountability for shipping high-quality training outcomes
  • Define and lead a research agenda in intentional design, interpretability-informed training, and alignment
  • Partner with our Chief Scientist to shape priorities, balance research and delivery, and translate strategy into execution
  • Build the team over time, including hiring, mentoring, and creating strong technical and managerial foundations

Qualifications

  • Experience leading post-training, model training, or closely related efforts in a frontier AI environment
  • Track record of owning ambitious technical programs that combine research depth with executional rigor
  • Experience managing teams and operating effectively in fast-moving, high-expectation environments
  • Strong judgment on how to balance longer-term research bets with near-term product or model delivery
  • Interest in intentional design, alignment, and interpretability-informed training
  • Ability to work closely with senior scientific leadership while also independently setting direction and driving outcomes

Skills

Required:Leadership of AI research programsTeam building and mentorshipStrategic research planning

Benefits

  • market competitive salary
  • equity
  • competitive benefits
Last updated Sep 15, 2026. Interested? Apply on the company site.

About Goodfire AI

Goodfire AI is an AI interpretability research lab focused on understanding and intentionally designing advanced AI systems.

AI interpretabilityresearchSilicointentional designmodel debugging

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