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Goodfire

Public-benefit AI interpretability lab building models

Head of Engineering - Platform

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

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

Responsibilities

  • Provide direct technical execution and leadership 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.
  • Recruit, hire, and retain top machine learning engineers from leading AI research labs.
  • Develop and execute a hiring strategy that positions Goodfire as a destination for top engineers.
  • Foster a high-performance engineering culture.
  • Drive adoption of Goodfire's core platform.
  • Collaborate directly with customers and go-to-market teams.
  • Shape and reinforce Goodfire's culture and values as the company scales.

Desired Qualifications

  • Prior experience at a frontier AI lab or leading AI research organization.
  • Experience shipping machine learning products to enterprise or research customers.
  • Background in or familiarity with interpretability, alignment, or AI safety research.
  • Public presence in the AI community through publications, open-source contributions, or speaking engagements.

About the Company

Goodfire

Public-benefit AI interpretability lab building models

Goodfire is a public-benefit AI interpretability lab in San Francisco that provides a model-design environment to understand, edit, debug, and monitor foundation models rather than treating them as black boxes. Its platform lets teams inspect model decisions, apply interpretability-informed training to reduce errors, and test and monitor changes across deployments. It differentiates itself through its public-benefit mission, collaborations with Arc Institute, Mayo Clinic, and Microsoft, and leadership with researchers, having halved LLM hallucinations and reverse-engineered a biological model to identify Alzheimer's biomarkers. Its goal is to make foundation models safer, more understandable, and easier to manage at scale by promoting transparency and accountability in AI development and deployment.

Company size
51-200
Company stage
Series B
Total funding
$207M
Headquarters
San Francisco, CA
Founded
2024

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