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The job board for developers. Find your next role at companies that value great engineering.

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8 matches
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Chai Discovery

Research Scientist, Applied Research

today
Chai Discovery · San Francisco, CA
On-siteFull-timeAlphaFold · RFDiffusion
Chai Discovery

Software Engineer, AI Platform

today
Chai Discovery · San Francisco, CA
On-siteFull-timeJAX · Python
Chai Discovery

Software Engineer, Developer & Research Platform

today
Chai Discovery · San Francisco, CA
On-siteFull-timeJAX · Python
Chai Discovery

Research Scientist

today
Chai Discovery · San Francisco, CA
On-siteFull-timeJAX · Python
Chai Discovery

Software Engineer, Compute Infrastructure

today
Chai Discovery · San Francisco, CA
On-siteFull-timeJAX · Python
Chai Discovery

Design Engineer

today
Chai Discovery · San Francisco, CA
On-siteFull-timeJAX · Python
Chai Discovery

Software Engineer, Scientific Products

today
Chai Discovery · San Francisco, CA
On-siteFull-timeJAX · Python
Chai Discovery

Research Scientist, Pre-training Research

today
Chai Discovery · San Francisco, CA
On-siteFull-timeJAX · Python
Chai Discovery

Research Scientist, Applied Research

Chai Discovery · 🇺🇸 San Francisco, CA · posted today
ApplyFull posting

Extracted from the posting

Base
Not stated
Remote
On-site
Stack
AlphaFold, RFDiffusion, ProteinMPNN, ESM

TL;DR

Improve the real-world performance of Chai's foundation models through targeted data generation, evals for model performance, and post-training recipes for drug discovery problems. The role works in tight loops with pre-training researchers, research engineers, and the science team. Relevant areas include protein language, structure prediction, and design models such as AlphaFold, RFDiffusion, ProteinMPNN, and ESM.

About Chai Discovery →

The full posting

About Chai Discovery

Chai Discovery builds the computer-aided design suite for molecules. Eli Lilly, GSK, Pfizer, Bristol Myers Squibb, argenx and Novartis all use Chai to power drug discovery programs. AI is reinventing life sciences the same way it reinvented software engineering, and our team is building that future.

We train frontier models that learn the underlying foundations of biochemical structure and interaction. We pair this with a computational workspace to iterate on molecules from idea to medicine, helping scientists move faster and develop medicines beyond the reach of existing methods.

We value diverse perspectives and are ready to find greatness in unexpected places.

About the role

We are hiring research scientists to improve the real-world performance of our foundation models. The work involves planning targeted data generation campaigns, designing evals that accurately measure model performance, and formulating post-training recipes aimed at making models useful for real drug discovery problems.

We prioritize simple, robust methods over intricate solutions built for narrow problems. We particularly value researchers who can formalize messy biological problems using methods from other fields.

You will work in tight loops with our pre-training researchers, research engineers and science team. Your work will ship fast and you'll see your results reach real therapeutic programs across industry.

About you

We look for technical depth paired with interest in the underlying biology. Biological background is not required. All of the following are positive signals:

  • Published research in machine learning for protein, antibody, or small-molecule modelling.
  • Fluency in the technical details of protein language, structure prediction, and design models (AlphaFold, RFDiffusion, ProteinMPNN, ESM, etc).
  • Strong quantitative background (CS, math, or physics), particularly in probability, statistics, and machine learning.
  • Deep software engineering expertise, with experience working in large codebases.

We are happy to bet on rising talent.

We offer

The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect and promote a culture of high velocity and ownership. We compensate our team accordingly.