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","datePosted":"2022-06-13T18:54:30.506Z","validThrough":"2024-10-12","employmentType":[],"hiringOrganization":{"@type":"Organization","name":"Valar Labs","description":"Valar Labs offers assistance services for cancer treatment through Artificial Intelligence. Founded by Anirudh Joshi, Viswesh Krishna, Pranav Rajpurkar, and Damir Vrabac in 2021, Valar Labs unlocks the potential of imaging data that is already part of routine clinical care to help guide oncologists with treatment decisions.","numberOfEmployees":15,"address":[{"address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA, USA"}}],"sameAs":"","url":"","logo":"","memberOf":{"@type":"Organization","name":"DCVC","description":"Data Collective (DCVC) is a venture capital fund that invests in entrepreneurs applying deep compute, big data and IT infrastructure technologies to transform giant industries","logo":"","url":""},"keywords":"Biotechnology, Data and Analytics, DeepTech, Health, Software"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA, USA"}}}

Machine Learning Engineer

Valar Labs

Valar Labs

Software Engineering
Palo Alto, CA, USA
Posted on Monday, June 13, 2022

Valar Labs

Visit website

Machine Learning Researcher

  • Software Development
  • Full-time
  • Palo Alto, CA

About us:

  • Founded by former Stanford AI researchers

  • Partnering with the world’s leading oncologists

  • 20+ publications in AI+medicine and backgrounds from tech companies and health tech


  • Building AI diagnostics for the most pressing problems in oncology

  • Large in-house private datasets designed to answer key clinical questions

  • Backed by Andreessen Horowitz and Pear VC

About the Role:

  • Architect key components of the deep learning platform

  • Train robust and interpretable deep learning models for impactful medical tasks

  • Design purpose built datasets alongside medical oncologists to tackle clinically relevant questions

  • Build full stack deep learning solutions from research to deployment

What we're looking for:

  • Publications in top conferences/journals in the Medical AI space

  • Ability to develop modular replicable machine learning platforms

  • Strong understanding of PyTorch, PyTorch Lightning and Cloud Infrastructure for machine


  • Experience deploying production AI models