Senior Machine Learning Engineer
Core
End-to-end ownership of clinical prediction models that detect preventable adverse events using vital signs and EHR data.
Role type
Senior Machine Learning Engineer (Clinical AI)
Builds
Predictive models for adverse event detection integrated into healthcare workflows
Domain
Healthcare / Clinical AI / Time-series analysis
Deliverable
production ML models
Required skills
Python, deep learning frameworks, classical ML, time-series/sequential data, calibration, class imbalance, temporal leakage, evaluation infrastructure, SQL, production data management
Preferred skills
Healthcare ML, clinical prediction, EHR data, physiological signals, regulatory validation, subgroup analysis
Technologies
Python, deep learning frameworks, SQL
Responsibilities
Design, train, and evaluate clinical prediction models; define prediction targets and build adjudication workflows; build evaluation harnesses and regression suites; select thresholds based on clinical metrics; quantify performance robustness across demographics; ship models with ML Ops support and contribute to regulatory submissions