> Markdown version of [/jobs/ext/2720937-technical-head-of-engineering](https://www.wearedevelopers.com/jobs/ext/2720937-technical-head-of-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # technical Head of Engineering - **Company:** GOODFIRE, LLC - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $300,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Distributed Systems, Machine Learning, Software Safety, Pytorch, Machine Learning Operations - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/head-of-engineering-platform-goodfire-8129785 ## About the Role * 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. 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 or familiarity with interpretability, alignment, or AI safety research. * Public presence in the AI community (publications, open-source contributions, speaking engagements). ## Description We're looking for a highly technical Head of Engineering to grow our core platform. At Goodfire, we believe that leaders need to be in the trenches with their team and that engineering leaders also need to be exceptional engineers. We're looking for someone who can do everything it takes to ensure our core platform's success from developing clean software interfaces for public consumption, making large training runs go smoothly, and ensuring success with our customers and design partners. You'll have extremely high ownership over a critical core of the business. You'll also be responsible for recruiting outstanding machine learning engineers from top AI labs to work on our mission. The right candidate is someone with existing networks in the frontier AI community and a proven track record of attracting and retaining top technical talent in a competitive market., Be a Key Technical Contributor * Direct technical execution at the highest level is expected for all leaders. * Convert state-of-the-art research into scalable, product-grade tools with urgency. * Oversee infrastructure for model interpretability, training, and inference at frontier scale. Build an Exemplary Engineering Team * 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 the best engineers in the field. * Foster a high-performance culture equipped to tackle some of the hardest problems in AI. ## Related Videos - [The New Org Chart: When AI Joins the Workforce](https://www.wearedevelopers.com/videos/100036-the-new-org-chart-when-ai-joins-the-workforce) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Psychological Safety in Software Engineering - Jenny-Margrethe Vej & Alexandra Hou Aldershaab](https://www.wearedevelopers.com/videos/2142-psychological-safety-in-software-engineering-jenny-margrethe-vej-alexandra-hou-aldershaab) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Trustworthy AI Starts at Deployment: 5 Checks Before You Ship](https://www.wearedevelopers.com/magazine/753-trustworthy-ai-starts-at-deployment-5-checks-before-you-ship) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)