Machine Learning Research Scientist Intern

The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation. Our goal is to create breakthroughs in natural science with new methodology and help the world. We are looking for talented individuals to join us for an internship in 2026. 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. 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: - 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. Minimum Qualifications: - 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. - Excellent teamwork and interpersonal communication skills, with the ability to convey complex ideas effectively. Preferred Qualifications: - AI force field models and atomic/molecular foundational models - Molecular dynamics enhanced sampling algorithms integrated with generative models - Design of biomolecules or material molecules - Deep engineering optimization and acceleration of AI-driven molecular dynamics simulations By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy