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Research Engineer

Chai Discovery · San Francisco office

Bio & Science AIonsite
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At a glance

Highlights

  • Build core frameworks to train and evaluate frontier molecular models at scale.
  • Own distributed training stack from parallelism to kernel optimization.
  • Push AI drug design beyond structure prediction to therapeutic engineering.

What they offer

  • Work at the vanguard of AI research and frontier biology
  • World-class team on a mission that matters
  • Culture of high velocity and ownership

Ideal candidate

Craft-obsessed systems builder with deep impact on real-world ML systems who loves owning performance and reliability end-to-end to advance AI drug design.

Requirements

  • Deep industry experience with top AI/ML teams
  • Strong software system design skills
  • Proficiency in Python
  • Pytorch or JAX fluency
  • Demonstrated exceptional impact on real-world problems and systems

Lab profile

About Chai Discovery

Builds an AI computer-aided design suite for molecules.

What they build

  • Computer-aided molecular design suite
  • AI biologics design tools
  • Antibody design platform

Known for

  • Molecular pre-training research
  • Antibody engineering
  • Pharma deployment

Key facts

  • Collaborations with Eli Lilly, GSK and Pfizer
More about Chai Discovery →
Apply on the lab’s site ↗

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