Work Location: HYBRID in Boston or NYC (downtown) Headcount: ~32, hiring 2-3 per month
Stack:React / Typescript / Python / GCP
Open Roles (all roles require a MINIMUM of 6 years of work experience): ML Infrastructure (Staff+) * Data Infra Lead/Engineer * Research Scientist (PhD's) * Data Scientist (looking for CS/engineering background ideally) * Security Engineer * ML Engineer
We Offer: * competitive base salary + equity + great health/medical benefits * unlimited PTO * collaborative engineering-first culture, in office 2-3 days per week in Boston and NYC offices
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.
Email me at mike.hauschild@layerhealth.com for more info!
Work Location: HYBRID in Boston or NYC (downtown) Headcount: ~32, hiring 2-3 per month
Stack:React / Typescript / Python / GCP
Open Roles (all roles require a MINIMUM of 6 years of work experience): ML Infrastructure (Staff+) * Data Infra Lead/Engineer * Research Scientist (PhD's) * Data Scientist (looking for CS/engineering background ideally) * Security Engineer * ML Engineer
We Offer: * competitive base salary + equity + great health/medical benefits * unlimited PTO * collaborative engineering-first culture, in office 2-3 days per week in Boston and NYC offices
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.
Email me at mike.hauschild@layerhealth.com for more info!