Teams at Layer Health

Develop and refine machine learning and LLM-powered models for clinical use cases, from prototyping through production. Conduct rigorous evaluation and error analysis, identify failure modes, implement targeted improvements, and ship frequent model updates. Apply prompting, structured outputs, tool use, and evaluation frameworks while contributing to performance metrics, reporting, and dashboards. Collaborate closely with the ML team in a fast-paced, high-ownership environment.

Build and maintain scalable APIs and web applications across the full stack. Own end-to-end development of customer-facing and internal product features, collaborate cross-functionally, engage with customers, and help create secure, performant applications for healthcare environments.

Design, develop, and deploy scalable ML software systems for healthcare. Collaborate with teams to improve products and ensure performance and reliability.