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ByteDance

Research Scientist Graduate, Foundation Models for Science (ByteDance Seed) - 2026 Start (PhD)

Department
Research
Job Type / Location
San Jose
Experience Required
3+ years
Posted On

About the Role

Our team at ByteDance Seed is dedicated to building foundation models for science, encompassing biology, physics, and chemistry. We are seeking outstanding researchers to join us and conduct cutting-edge research in AI for Science. As a graduate hire, you will have unparalleled opportunities to kickstart your career, pursue bold ideas, and explore limitless growth.

Responsibilities

  • Develop foundation models for nature science, such as protein structure prediction, molecular conformation generation, and computational protein design.
  • Replicate and assess emerging AI/ML methods using public benchmarks and databases.
  • Collaborate closely with the multidisciplinary drug discovery team, applying inventive algorithms to cutting-edge challenges.
  • Stay updated with the latest scientific literature.
  • Communicate and elucidate computational models and AI techniques to a diverse audience spanning multiple disciplines.

Minimum Qualifications

  • Pursuing a Ph.D. in fields like computer science, electrical computer engineering, or related areas.
  • Strong research background in AI and machine learning with solid publications in leading conferences (e.g., ICML, NeurIPS, ICLR) and journals, encompassing areas like large language models, diffusion/flow models, geometric deep learning, natural language processing, computer vision, computational protein design, protein structure and conformation prediction, and related fields.
  • Proficient in Python programming and deep learning platforms like PyTorch.
  • Must secure work authorization in the country of employment upon hiring and maintain ongoing work authorization throughout employment.

View Assessment Process

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