Digital Health Startup Careers Every company. Every role. Register & Get Matched

Machine Learning Engineer

Layer Health · New York, NY; Boston, MA

Match pending Not specified Posted 2026-10-19
Salary range sourced from Levels.fyi, Pave, and Synaxia placement history · Company intel: Crunchbase · StackShare · BuiltWith

About the role

This is a Machine Learning Engineer opportunity with a Series A healthtech company using LLMs to automate clinical chart abstraction. You’ll build the production systems that run the models. You’ll write Python services, build cloud-based pipelines, and deploy and monitor LLM-driven workflows at scale. The ideal candidate will have 5 to 7+ years of backend and cloud experience with strong Python. The role is hybrid, 2 to 3 days a week in NYC or Boston. We're looking for someone curious, pragmatic, and eager to work across the stack with a small senior team. You'll own end-to-end delivery of major features, influence architecture, and mentor engineers.

What you'll do

  • Ship customer-facing features on a weekly cadence.
  • Partner with design and product on scoping and trade-offs.
  • Drive technical quality through review, testing, and docs.
  • Mentor one or two engineers on your team.

Requirements

LLMsPythonGoRust

Hiring process

  1. Application review · 2 days
  2. Recruiter screen · 30 min
  3. Technical interview · 90 min
  4. Onsite loop · 3–4 hours
  5. Offer

Company

L
Layer Health
Team not listed · — applicants
Mission-driven team building for a global audience. Remote-first, async-leaning, ships twice a week.

Why you'd fit

  • Your top skills match 4/5 requirements
  • Salary range matches your preferences
  • Location match: New York, NY; Boston, MA
  • Add 2 more healthcare projects to your profile to lift your match score

Similar roles