The Sr. ML Engineer will work directly with our Data Science Director to develop, refine, and productionize machine learning models that score healthcare claims against liability signals from legal, P&C, and other data sources. This role requires comfort working with structured healthcare and insurance data in a HIPAA-compliant environment.

Key Responsibilities:

• Develop and iterate on classification and scoring models (e.g., XGBoost, gradient boosting, ensemble methods) that identify subrogation recovery opportunities from health plan claims data
• Engineer features from the Gold layer and Feature Store, including injury code signals, entity match confidence, and P&C/legal filing attributes
• Collaborate with Data Engineers to ensure Feature Store pipelines deliver clean, timely feature sets for both training and inference
• Conduct model evaluation, validation, and performance benchmarking against current identification baselines...