About this role

Own the intelligence layer that makes Evergreen's agents clinically meaningful
Design, train, validate, and monitor ML models
Build evaluation and validation framework for agent-driven clinical recommendations
Develop patient risk stratification models
Implement and manage the predictive analytics pipeline on AWS
Design and build the RAG architecture
Own model lifecycle management
Build explainability layers for clinical recommendations
Collaborate with the clinical team
Establish model monitoring and alerting

6+ years in ML engineering or applied data science, with at least 3 years shipping ML models to production in a healthcare, biotech, or clinical domain
Direct experience building clinical decision support, risk stratification, or patient outcome prediction models
Production experience with LLM-based agent systems
Demonstrated ability to collaborate with clinical domain experts
Experience working in HIPAA-regulated environments
Track record of building explainable models in regulated contexts

Machine Learning Engineer

Key skills