←back to thread

314 points whoishiring | 1 comments | | HN request time: 0.2s | source

Please state the location and include REMOTE for remote work, REMOTE (US) or similar if the country is restricted, and ONSITE when remote work is not an option.

Please only post if you personally are part of the hiring company—no recruiting firms or job boards. One post per company. If it isn't a household name, explain what your company does.

Please only post if you are actively filling a position and are committed to responding to applicants.

Commenters: please don't reply to job posts to complain about something. It's off topic here.

Readers: please only email if you are personally interested in the job.

Searchers: try https://dheerajck.github.io/hnwhoishiring/, http://nchelluri.github.io/hnjobs/, https://hnresumetojobs.com, https://hnhired.fly.dev, https://kennytilton.github.io/whoishiring/, https://hnjobs.emilburzo.com, or this (unofficial) Chrome extension: https://chromewebstore.google.com/detail/hn-hiring-pro/mpfal....

Don't miss this other fine thread: Who wants to be hired? https://news.ycombinator.com/item?id=46108940

1. mikelayerhealth ◴[] No.46122794[source]
Layer Health | https://www.layerhealth.com/ Our engineering team: https://www.linkedin.com/company/layerhealth/people/ Location: BOSTON (Boston Common) or NYC (downtown) - hybrid in both locations; <<NO REMOTE>> Headcount: ~34, hiring ~2 per month

Stack:React / Typescript / Python / GCP

Open Roles (all roles require a MINIMUM of 6 years of work experience): Fullsack Engineer (Senior) Python/React/Typescript * ML Infrastructure (Staff+) * Data Infra Lead/Engineer * ML/Research Scientist (PhD's) * MLE's (looking for CS/engineering background ideally) * Security Engineer

We Offer: * competitive base salary + equity + great health/medical benefits * unlimited PTO * collaborative engineering-first culture

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!