# Engineering Manager, Machine Learning 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: Senior
- Location: Boston or NYC
- Work setup: On-site
- Pay: $250K to $275K base salary per year (USD)
- Posted: 2025-11-17
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/layerhealth/jobs/4990056008
- Page: https://www.1752.vc/careers/jobs/layer-health-engineering-manager-machine-learning/

## About the role

Expected compensation range for this role is $250,000-275,000. 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

- Help craft and drive the ML technical agenda in partnership with engineering, research, and product leadership, ensuring the roadmap aligns with company goals and high-impact opportunities
- Lead rigorous experimentation and model evaluation, ensuring our LLM systems meet clinical-grade performance and reliability requirements
- Work closely with our engineering team to integrate and scale models in production, optimize inference efficiency, and maintain strong observability and monitoring
- Establish and champion best practices in modeling, code quality, reproducibility, and experiment design—helping define “what incredible looks like” for ML at an early-stage, mission-driven health tech company
- Communicate technical work clearly to cross-functional partners and leadership, translating ML developments into strategic implications for the business and product
- Recruit, cultivate, and inspire the next generation of technical talent as the team grows

Tags: Engineering