Head of Engineering, Platform

Core responsibilities:

• Be a key technical contributor by converting state-of-the-art research into scalable, product-grade tools and overseeing infrastructure for model interpretability, training, and inference at frontier scale
• Build an exemplary engineering team by recruiting, hiring, and retaining top machine learning engineers from leading AI research labs
• Own outcomes end-to-end by driving adoption of Goodfire's core platform and collaborating directly with customers and go-to-market teams

This role contributes to developing groundbreaking technology on the critical path to ensuring a safe and beneficial future for humanity by advancing the science of how AI systems actually work and making AI that can be understood, debugged, and shaped like software.

Required skills and experience:

• 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
• 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

Market competitive salary, equity, and competitive benefits. Expected salary range: $300,000 - $450,000 USD (commensurate with experience).

Goodfire is a research company using interpretability to understand, learn from, and design AI systems, with a mission to build the next generation of safe and powerful AI by understanding the intelligence being built rather than just scaling.