HN Jobs

A searchable index of Hacker News “Who is hiring?” job postings.

← All postings · February 2020 thread

PicnicHealth (YC S14)

Engineering Manager

CompanyPicnicHealth (YC S14)
Websitepicnichealth.com
Roles
  • Engineering Manager
  • Front-End Engineer
  • Full-Stack Engineer
  • Machine Learning Engineer
  • Product Manager, Patient Product
Typefull-time
Role taxonomyLeadership / ManagementFrontendFull-stack / Product EngineeringAI / ML / ResearchProduct ManagementLead / Manager
SpecialtiesLeadership, Frontend, Full-stack, Machine Learning, Product Management
LocationSan Francisco, CA
Salary
Apply viaApplication linkhttps://www.keyvalues.com/picnichealth
Hiring notes
TechReactNode.jsPythonPostgreSQLKubernetesGCPML/AI
Parsed locationsSan Francisco, CA
Posted bytroyastorino
PostedFeb 3, 2020
SourceView on Hacker News ↗

Original posting

PicnicHealth (YC S14) | San Francisco, CA | Full-Time, Onsite | https://picnichealth.com PicnicHealth works with patients to collect, digitize, and manage their medical records, empowering them to monitor and control their care via a personal health timeline. Through partnerships with biotech, genomics, and pharma companies, we also aggregate and organize data from big groups of volunteers, which helps power some of today’s most cutting-edge medical research. To learn more about who we are, our engineering culture, and whether this is the right place for you, read our Key Values profile: https://www.keyvalues.com/picnichealth You can see all of our open roles here: https://grnh.se/3b566ba92 * Engineering Manager: https://team.picnichealth.com/careerdetails?gh_jid=437728600... * Front-End Engineer: https://team.picnichealth.com/careerdetails?gh_jid=429755900... * Full-Stack Engineer: https://team.picnichealth.com/careerdetails?gh_jid=429692900... * Machine Learning Engineer: https://team.picnichealth.com/careerdetails?gh_jid=429760100... * Product Manager, Patient Product: https://team.picnichealth.com/careerdetails?gh_jid=437728800... Tech Stack: Our main web service is in Node.js, and most other services are in Python (mostly machine learning services, using Keras, Tensorflow, etc). Our frontend is React + Redux, database is PostgreSQL, and services run in a Kubernetes cluster hosted on Google Cloud Platform (Google Kubernetes Engine).