# Machine Learning Engineer at Layer Health

- Company: Layer Health
- What the company does: 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.
- Company website: https://www.layerhealth.com
- Type: Startups (AI role)
- Level: Mid level
- Location: Boston or NYC
- Work setup: On-site
- Pay: $210K to $250K base salary per year (USD)
- Posted: 2025-09-10
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/layerhealth/jobs/4915887008
- Page: https://www.1752.vc/careers/jobs/layer-health-machine-learning-engineer/

## 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

Tags: Engineering