Product Engineer

Goodfire•San Francisco, CA

64d•Onsite

About The Position

Goodfire is a research company focused on interpretability to understand, learn from, and design AI systems. Their mission is to build the next generation of safe and powerful AI by understanding the intelligence being built, rather than just scaling. They are advancing the science of how AI systems work, enabling models to be understood, debugged, and shaped like software. Goodfire is a public benefit corporation headquartered in San Francisco, backed by significant funding and featuring top interpretability researchers and engineers. This role is for a Product Engineer who will help build the core product experience for training, evaluating, debugging, and deploying interpretable AI systems at scale. The engineer will translate Goodfire's research and platform capabilities into user-friendly products, including interfaces, workflows, and developer tools. This position is similar to a Machine Learning Engineer role but with a stronger emphasis on core product building, involving collaboration across engineering, design, research, and field teams to develop robust product features from prototypes to production systems.

Requirements

2+ years of experience building production software, especially user-facing products, data-intensive systems, or AI/ML products.
Strong engineering fundamentals and ability to work across the stack, with depth in at least one of frontend, backend, systems, or product infrastructure.
Strong product judgment; you care about making powerful technical systems feel clear, reliable, and easy to use.
Comfort working across research, engineering, design, and customer-facing teams.
You care about understanding how models work internally and using that understanding to make AI systems more reliable and useful in the real world.

Nice To Haves

Experience building products for technical users, developers, researchers, ML engineers, or infrastructure teams.
Startup or frontier lab experience in fast-moving teams.

Responsibilities

Turn cutting-edge interpretability research into production-ready product features: partner with researchers and ML engineers to make new capabilities usable in the product
Build high-quality product experiences: own full-stack features, APIs, workflows, and interfaces from ambiguous idea to shipped product
Create product systems that are reliable and fast: ensure the product is performant, reproducible, observable, and stable enough for real customer use
Shape product direction through engineering judgment: identify obvious fixes, propose better workflows, and help decide what Goodfire should build next