Job at Chai Discovery
Software Engineer, AI Platform
- Employer
- Chai Discovery
- Location
- San Francisco office
- Workplace
- Not supplied
- Employment
- full-time
- Department
- Platform & Products
- Last published
- First listed on USASI
Apply on Chai Discovery’s site (external site)View the posting on Chai Discovery’s job board (external site)
This posting comes from Chai Discovery’s own Ashby job board. USASI checks that board every day and removes this page once the employer closes the posting. The description below is Chai Discovery’s text as published; USASI does not edit it, does not recruit, and does not take applications. How jobs are collected.
Job description
About Chai Discovery
Chai Discovery builds the computer-aided design suite for molecules. Eli Lilly (external site), GSK (external site), Pfizer (external site), Bristol Meyers (external site), argenx (external site) and Novartis (external site) 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
Build the AI platform that lets scientists direct research programs with agents. We believe that as Chai's models get more powerful, scientists will focus more on fundamental problems and biological hypotheses, and delegate more of the subtasks to answer them to agents. Making this possible requires inventing the abstractions through which people, agents, and Chai’s models collaborate.
- Work with scientists and model researchers to define how agents use Chai’s foundation models to design molecules and guide experiments.
- Build products that shorten the cycle from idea ➝ to experiment ➝ to the next decision, while scientists monitor and direct the work.
- Build the core abstractions for agent execution, model inference, and scientific tools so new capabilities come together fluidly across the workspace.
About you
We look for technical depth, strong software architecture, and product judgment, with experience building complex applications or agent systems. You can find clear abstractions in a messy domain and build systems that hold up as their scope grows. We value a practical understanding of where agents fail and how to tell whether they’re doing useful work.
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 & promote a culture of high velocity and ownership. We compensate our team accordingly.
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