Research Scientist in Foundation Models for Science
| Company | ByteDance |
|---|---|
| Location | San Jose, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Junior |
Requirements
- Pursuing a Ph.D. in fields like computer science, electrical computer engineering, or related areas.
- 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 models, geometric deep learning, natural language processing, computational protein design, protein structure and conformation prediction, and related fields.
- Proficient in Python programming and deep learning platforms like Pytorch.
- Must secure work authorization in the country of employment upon hiring and maintain ongoing work authorization throughout employment.
Responsibilities
- Develop foundation models for nature science, such as protein structure prediction, molecular conformation analysis, 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.
Preferred Qualifications
-
No preferred qualifications provided.