We have built the AI-layer for chart review—to unlock value and improve care by identifying insights from longitudinal medical charts at scale. Backed by GV.
About the role
We’re hiring an exceptional ML Engineer to join our team (Boston or NYC office). In this role, you will design, develop, and deploy scalable ML software systems to address large-scale challenges in healthcare. You will work closely with our software engineers, research scientists, and product teams to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability.
What they're looking for
- 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
More about this role
Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.
We’re seeking outstanding hires to join our team as early members. This is an opportunity to contribute to a high-impact, collaborative, mission-driven team, and help define the next stage of growth for Layer Health. Together, we will create the AI layer that will redefine healthcare for the better.
Here’s a collection of articles about our product, mission, recent funding round, etc.
We’re hiring an exceptional ML Engineer to join our team...
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