Founding Machine Learning Engineer

Founding Machine Learning Research Engineer (Evaluation & Model Iteration Focus) Location: Bay Area Onsite We’re working with a pioneering stealth-stage company in the Bay Area that is redefining how AI is evaluated in healthcare. Founded by ex-Stanford AI Lab researchers, ex-AWS, with deep expertise in representation learning and working on LLM interpretability. We are looking for a Founding ML Engineer to: Lead investigations into model behavior, failure modes, and uncertaintyDeliver decision-grade evidence that informs FDA submissions and hospital adoptionWork directly with medical imaging vendors and hospitalsCombine hands-on ML skills with strong customer-facing judgment To succeed in this role, we're looking for a genuine interest in rigorous evaluation/testing of ML systems, especially in medical AI. This is a high-impact, high-ownership role, your work will directly influence real-world outcomes, FDA approvals, and how high-stakes AI is governed. Compensation includes competitive salary $200k - $250k meaningful early-stage equity (1–3%). If this sounds like something you’d be excited about, please apply with your resume and we can set up a quick conversation to share more details.