ML Research Scientist Intern - AI for Science

ByteDance; Seattle (WA); On-site; USD 65,000 - 92,000; Full time

Benefits offered by this job

Health insurance

Wellbeing benefits

Housing allowance

Paid holidays

Paid sick time

Job summary

ByteDance invites PhD interns to join the AI for Science team, contributing to biology, physics and materials research using machine learning and molecular dynamics. You will work with industry experts, gain hands-on experience, and help translate research into practical products and tools.

The internship emphasizes collaboration, learning, and professional development, with exposure to cutting-edge computational methods and real-world impact across ByteDance’s scientific initiatives.

Qualifications

• Currently pursuing a Ph.D.; preferred majors include Computer Science, Mathematics, Physics, Computational Materials Science, Quantum Chemistry, or related fields.
• Strong communication and teamwork skills, a proactive willingness to learn, and a conscientious, responsible work ethic.
• Proficiency in Python, C, C++, CUDA, or Triton with solid engineering capability and orchestration of coding workflows.
• Familiar with quantum chemistry algorithms, MD engines or ML algorithms; or materials science and MLIP development.

Responsibilities

• Track cutting-edge research developments and build broad technical understanding.
• Integrate methods from ML, quantum chemistry, and molecular dynamics for frontier applications.
• Consolidate outcomes and translate research into practical, impactful applications.

Skills

Python

C

C++

CUDA

Triton

Education

Ph.D. in Computer Science, Mathematics, Physics or related fields

Tools

LAMMPS

OpenMM

DFT tools

Job description

ByteDance invites PhD interns to join the AI for Science team, contributing to biology, physics and materials research using machine learning and molecular dynamics. You will work with industry experts, gain hands-on experience, and help translate research into practical products and tools.

The internship emphasizes collaboration, learning, and professional development, with exposure to cutting-edge computational methods and real-world impact across ByteDance’s scientific initiatives.