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

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.