ByteDance's AI for Science team is tackling challenges in natural sciences (biology, physics, materials) using computational tools like Machine Learning and Computational Chemistry to create breakthroughs and help the world.
Requirements
- Currently pursuing a PhD in Machine Learning, Computational Materials Science, Computational Biology, or a related field.
- Strong understanding of machine learning algorithms, with extensive hands-on experience and software development knowledge.
- Proven track record of publications in high-impact, peer-reviewed scientific journals.
- Demonstrated ability to conduct independent and innovative research; capable of thriving in a fast-paced, interdisciplinary environment.
- AI force field models and atomic/molecular foundational models
- Molecular dynamics enhanced sampling algorithms integrated with generative models
- Deep engineering optimization and acceleration of AI-driven molecular dynamics simulations
Responsibilities
- Stay up to date with cutting-edge research and collaborate with the team to develop a broad and in-depth understanding of key technical domains.
- Apply interdisciplinary approaches—combining machine learning, quantum chemistry, molecular dynamics, and other methods—to explore novel applications in biology and materials science.
- Integrate internal and external research outcomes to drive real-world implementation of research achievements and create widespread impact.
Other
- PhD Internships at ByteDance aim to 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).
- Excellent teamwork and interpersonal communication skills, with the ability to convey complex ideas effectively.
