ByteDance

Responsibilities

The Seed-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 our team! As a Machine Learning Algorithm Researcher, you will get unparalleled opportunities for you to pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with Bytedance.

What you'll do:

1. Track the progress of cutting-edge research in the industry and establish in-depth and extensive technical knowledge in the field with the team.

2. Combining methods from multiple fields such as Machine Learning, Quantum Chemistry, and Molecular Dynamics to explore cutting-edge applications in the fields of biology and materials.

3. Integrate industry and team research results, promote the practical application of research results, and generate extensive influence.

Qualifications

Minimum Qualifications:

• Doctoral degree, majors related to Machine Learning, Computational Materials, Computational Biology, etc. are preferred.
• In-depth understanding of Machine Learning algorithms, with rich practical experience and development knowledge.
• Have a good publication record in high-impact peer-reviewed scientific journals.
• Capable of independent research and innovation, able to grow in a fast-paced, interdisciplinary environment.
• Possess excellent teamwork and interpersonal skills, able to effectively convey complex ideas.

Preferred Qualifications:

• AI Force Field Model and Atomic/Molecular Basic Model
• Molecular Dynamics Enhanced Sampling Algorithm with generative model
• Biomolecular/Material Molecular Design
• Deep Engineering Optimization and Acceleration of AI Molecular Dynamics