Staff Machine Learning Engineer

6+ years of experience in applied ML roles. At least 1 year working on ranking, relevance, search, or recommender systems. Fluent in Python and experienced with ML frameworks (TensorFlow, PyTorch, Scikit-learn, CatBoost, etc.). Experience taking ML models from research/prototype to production at scale. Comfortable designing and running A/B experiments. Ability to choose appropriate offline and online metrics. Combines product intuition with technical depth. Experience with matching systems or personalization (nice to have). Familiarity with modern retrieval techniques (nice to have). Exposure to ML infrastructure (nice to have).

Design and scale ML models for patient-provider matching and ranking. Utilize patient signals, provider attributes, and outcomes data for personalization. Establish ML infrastructure for experimentation, training, deployment, and monitoring. Guide junior ML engineers and data scientists, setting ML practices. Partner with product, engineering, and data science for success metrics, A/B experiments, and product strategy.