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Head of Engineering, Platform

Goodfire AI· Research and Development
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Hybrid (San Francisco, CA)$300k - $450kfull-timePosted 3mo ago

About the role

Technical leadership role to grow Goodfire's core platform, combining hands-on engineering with team building, recruitment, and customer alignment to scale a frontier AI interpretability platform.

Responsibilities

  • Be a Key Technical Contributor: Direct technical execution at the highest level; Convert state-of-the-art research into scalable, product-grade tools; Oversee infrastructure for model interpretability, training, and inference at frontier scale.
  • Build an Exemplary Engineering Team: Recruit, hire, and retain top machine learning engineers; Develop and execute a hiring strategy to attract top engineers; Foster a high-performance culture.
  • Own Outcomes End-to-End: Drive adoption of Goodfire's core platform; Collaborate with customers and go-to-market teams; Shape and reinforce Goodfire's culture and values as the company scales.

Qualifications

  • 10+ years of engineering experience, with 5+ years in engineering leadership roles
  • Demonstrated success building and scaling engineering teams at high-growth startups or frontier AI labs
  • Exceptional track record recruiting machine learning engineers from top AI organizations
  • Deep technical expertise in ML infrastructure, distributed systems, and large-scale model training
  • Hands-on proficiency with PyTorch or JAX, modern ML tooling and inference engines
  • Strong network within the AI/ML research and engineering community
  • Genuine passion for AI safety, interpretability, and building systems that earn human trust

Skills

Required:Engineering leadershipML infrastructurePublic PyTorch/JAX expertise

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
Company profileWebsite

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