# ML Research 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: $160K to $200K base salary per year (USD)
- Posted: 2024-10-18
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/layerhealth/jobs/4182369008
- Page: https://www.1752.vc/careers/jobs/layer-health-ml-research-engineer/

## 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

Tags: Engineering