AI​/Machine Learning Engineer, Healthcare AI

This is a hands-on machine learning engineering role inside a Boston healthcare AI company, taking clinical models from prototype into production use inside health system workflows.

• Design, train and ship machine learning models against clinical and operational healthcare data.
• Take ownership of the full lifecycle: data pipelines, feature engineering, evaluation, deployment and monitoring.
• Work alongside clinicians and product to make sure model output is safe, explainable and usable at the point of care.
• Build the evaluation and drift monitoring that keeps deployed models trustworthy.

• Strong Python plus modern ML tooling, with production experience rather than notebook-only work.
• Experience with cloud ML infrastructure and MLOps practice.
• Healthcare data exposure is welcome but not essential. Clinical curiosity matters more than a healthcare CV.
• Comfort working in a regulated environment where model decisions need to be defensible.

• $150,000 to $185,000 base, plus equity, plus a full US benefits package. Hybrid in Boston.