ByteDance is looking to solve the problem of building foundation models for science, including biology, physics, and chemistry, by conducting cutting-edge research in AI for Science.
Requirements
- Strong research background in AI and machine learning with solid publications in leading conferences (e.g., ICML, NeurIPS, ICLR) and journals, encompassing areas like large language models, diffusion/flow models, geometric deep learning, natural language processing, computer vision, computational protein design, protein structure and conformation prediction, and related fields.
- Proficient in Python programming and deep learning platforms like PyTorch.
Responsibilities
- Develop foundation models for nature science, such as protein structure prediction, molecular conformation generation, and computational protein design.
- Replicate and assess emerging AI/ML methods using public benchmarks and databases.
- Collaborate closely with the multidisciplinary drug discovery team, applying inventive algorithms to cutting-edge challenges.
- Stay updated with the latest scientific literature.
- Communicate and elucidate computational models and AI techniques to a diverse audience spanning multiple disciplines.
Other
- Pursuing a Ph.D. in fields like computer science, electrical computer engineering, or related areas.
- Must secure work authorization in the country of employment upon hiring and maintain ongoing work authorization throughout employment.
- Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
- Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
