Layer Health
Source: hackernews
Location: BOSTON (Boston Common) or NYC (downtown) - hybrid / NO REMOTE
Headcount: ~35
Stack: React / Typescript / Python / GCP
Funding: Series A (Layer Health raises Series A)
Our engineering team: Layer Health Engineering Team
About the 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.
Interview Process
Our interview process (candidates love it):
- Meeting with me
- Tech chat with cofounder
- Take home assignment (capped at 2-3hrs)
- Onsite interview
- Offer (no leet code, no algorithms or pressured oddball questions)
Open Roles
- Fullstack Engineer (Senior) Python/React/Typescript
- Forward Deploy Data Scientist (1-2 years xp)
- Jr Data Engineer (1-2 years xp)
- ML Engineer
- ML Infrastructure
- Data Infra Lead Engineer
- Research Scientist (PhD req)
Benefits
We Offer:
- Competitive base salary + equity + great health/medical benefits
- Unlimited PTO
- Collaborative engineering-first culture
Contact
Email me at mike.hauschild@layerhealth.com for more info!