Senior AI/ML Engineer
Core
Building predictive models and ML infrastructure to turn raw clinical data into intelligence for healthcare customers.
Role type
Senior Machine Learning Engineer (Applied)
Builds
Production ML models and the underlying ML platform for clinical data processing.
Domain
Healthcare / Clinical Data / Machine Learning
Deliverable
production ML models
Required skills
Deep ML fundamentals (classical methods, deep learning, gradient boosted trees, neural networks), Python, AWS, SQL, TypeScript, IaC, model monitoring, feature engineering, unstructured data parsing
Preferred skills
Entrepreneurial mindset, strong ownership, ability to optimize for speed vs. quality, pragmatic LLM usage
Technologies
Python, TypeScript, AWS, SQL
Responsibilities
Building predictive models for risk stratification and care gap detection; owning the full ML lifecycle from problem framing to production monitoring; parsing unstructured clinical data (PDFs, images, notes); standing up ML infrastructure (pipelines, experiment tracking, model versioning); collaborating with founders and customers on high-leverage ML problems.
Seniority
Senior, hands-on IC
