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 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, such as Pytorch.
- Pursuing a Ph.D. in fields like computer science, electrical computer engineering, or related areas.
Responsibilities
- Design and develop generative AI models for natural sciences, including protein structure prediction, molecular conformation analysis, and computational protein design.
- Reproduce and evaluate emerging AI/ML methods using public benchmarks and datasets.
- Work closely with a multidisciplinary drug discovery team, applying innovative algorithms to tackle complex challenges.
- Stay informed on the latest advancements in scientific research.
Other
- Pursuing a Ph.D. in fields like computer science, electrical computer engineering, or related areas.
- Commit to an onboarding date by end of year 2026.
- Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws.
- 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)
- Day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits
