Research Scientist Intern, Biomolecular Structure Foundation Models (Seed AI-for-Science) - 2026 Start (PhD)

Understanding biological structure is central to deciphering the mechanisms of life and advancing rational drug design. We are developing next-generation, structure-centric, multimodal foundation models that power key applications-from complex structure prediction and functional modeling to de novo molecular design.

We are a cross-disciplinary team of experts in machine learning, structural biology, computational chemistry, and bioinformatics, supported by strong engineering infrastructure and access to large-scale compute resources. We aim to develop open, high-precision, generalizable models that drive breakthroughs in biology and drug discovery.

We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at ByteDance.

PhD internships at ByteDance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.

Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).

Responsibilities:1) Collaborate closely with a multidisciplinary team of ML researchers, computational biologists, and chemists to tackle cutting-edge scientific challenges in molecular modeling.2) Develop and optimize large-scale models that integrate diverse biological modalities (e.g., sequences, 3D structures, molecular properties) to address complex biomolecular challenges-ranging from conformational landscape modeling to interaction and binding affinity prediction, and design of proteins and small molecules.3) Stay current with advances in machine learning and proactively integrate cutting-edge techniques into our biomolecular models.

What We Offer1) A collaborative, impact-driven environment at the intersection of biology and AI.2) Access to cutting-edge compute infrastructure and proprietary tools.3) Opportunities to contribute to open science and transformative technologies in drug discovery.