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
Expected compensation range for this role is $210,000-250,000/year, in addition to stock options. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made.
What they're looking for
- 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
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.
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...
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