Senior Engineer, Machine Learning
Core
Build and maintain production-grade machine learning models that drive personalized member care, risk prediction, and coaching optimization for diabetes and obesity reversal.
Role type
Senior IC machine learning engineer (healthcare)
Builds
Predictive models for member engagement, health trends, and personalized interventions
Domain
Health-tech / Diabetes care / Longitudinal member data
Deliverable
production ML models
Required skills
Production ML system deployment, traditional ML (XGBoost, time-series), rigorous evaluation & experimental design, causal ML, error analysis, technical leadership
Preferred skills
Clinical/health-tech ML background, PHI/HIPAA experience, LLM judgment
Technologies
XGBoost, time-series analysis, causal ML, GenAI
Responsibilities
Frame ambiguous clinical questions into ML tasks, build predictive models for member care, implement self-maintaining model logic (retraining, drift detection), design offline/online evaluations, build causal models validated against clinical experiments, integrate ML signals for personalized coaching, lead complex ML initiatives across teams
