AI for Science
The Seed-AI for Science team applies AI to drive breakthroughs in scientific computing research paradigms, focusing on biological foundation models, quantum chemistry, and molecular dynamics.
Latest advancements
Protenix
A biomolecular foundation model capable of high-fidelity complex structure prediction and de novo protein design with a high rate of success.
Selected papers
Mar 14, 2025
Deep Learning Sheds Light on Integer and Fractional Topological Insulators
Strongly Correlated Electrons
Featured roles
Research Scientist in Foundation Models for Science
San Jose
Experienced Hiring
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Research Scientist, Computational Biology
Seattle
Experienced Hiring
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Machine Learning Research Scientist - Atomistic AI
Seattle
Experienced Hiring
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Research Scientist in Generative AI for Science (ByteDance Seed) - 2026 Start (PhD)
San Jose
Campus Recruitment
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Research Scientist Graduate, Biomolecular Structure Foundation Models, (Seed AI-for-Science) - 2026 Start (PhD)
Seattle
Campus Recruitment
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Machine Learning Research Scientist – Atomistic AI - 2026 Start (PhD)
Seattle
Campus Recruitment
Apply Now