Frontier
Chai Discovery

Research Engineer - Auto Research

San Francisco, CA, USA
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mid_seniorArtificial IntelligenceMachine LearningPython (Programming Language)PyTorch (Machine Learning Library)JaxMESystems DesignAutomation

About this role

About Chai Discovery Chai Discovery builds the computer-aided design suite for molecules. Eli Lilly, GSK, Pfizer, Bristol Meyers, 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 Build agent-powered systems and frameworks to improve model training, accelerate inference, and help our research organization move faster. Automate the research loop itself rather than just the models it produces, including the tooling and datasets that allow agents to run experiments, evaluate results and propose next steps. Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering. This is a chance to push the frontier of AI drug design, working alongside a rigorous and craft-obsessed team. About you Ideal backgrounds include deep industry experience working with top AI/ML teams on agent-powered software—with strong system design skills, proficiency in Python, and Pytorch or JAX fluency. We look for technical spikes where you have gone deep and demonstrated exceptional impact on real-world problems and systems. 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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Aggregated by Frontier · Posted September 26, 2026