Machine Learning Engineer

Layer Health is building an AI-powered platform that synthesizes medical-record information to reduce friction in healthcare. The Machine Learning Engineer will design, develop, and deploy scalable machine learning software systems, translating LLM research into production and building reliable ML-native healthcare platforms. The role will also involve working with clinical data, monitoring model performance, and collaborating across engineering, research, and product teams.

Responsibilities:

• Translate start-of-the-art LLM research (both internally developed and from the community) into production, delivering value for our customers
• Work with complex, large-scale, real-world clinical data (both structured and unstructured data) in a cloud-based environment
• Develop methods and features to ensure high-quality results for our production models (methods to detect drift/performance degradation; develop observability tooling for performance characteristics, etc.)
• Collaborate with the broader product, engineering, and research teams to improve our products and build the next-generation of ML for healthcare
• Ensure robust monitoring, logging, and error handling for deployed systems
• Stay updated on the latest advancements in machine learning and AI
• Cultivate a robust ML engineering and product culture that drives the company forward