Head of Engineering, Platform

About the Company

Goodfire is a research company using interpretability to understand, learn from, and design AI systems. A public benefit corporation headquartered in San Francisco, Goodfire is backed by over $200M from leading investors and is composed of top researchers from organizations like OpenAI and DeepMind.

Responsibilities

• Direct technical execution and 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 to position Goodfire as a top destination for engineers
• Drive adoption of the core platform and collaborate with customers and go-to-market teams
• Shape and reinforce company culture and values as the organization scales

Requirements

• 10+ years of engineering experience
• 5+ years in engineering leadership roles
• Proven 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
• Passion for AI safety and interpretability

Preferred Qualifications

• Prior experience at a frontier AI lab or leading AI research organization
• Experience shipping ML products to enterprise or research customers
• Background in interpretability, alignment, or AI safety research
• Public presence in the AI community via publications, open-source, or speaking