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

  startups

• 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

  learning

• Experience deploying production AI models

• (Optional) Experience with Pathology data