ML Research Engineer

Layer Health is a company founded by leading machine learning researchers from MIT and Harvard Medical School, focused on building an AI layer to enhance healthcare. They are seeking a ML Research Engineer to design, develop, and deploy scalable ML software systems, collaborating with various teams to address large-scale challenges in the healthcare sector.

Responsibilities:

• Architect efficient, secure, reliable, and performant ML pipelines and infrastructure
• Design, develop, and maintain scalable/data-centric backend infrastructure for our product
• 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
• Build scalable infrastructure to ensure we can scalably support efficient model development and deployment pipelines, CI/CD, testing/experimentation
• 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