Research Scientist Graduate – Foundation Model – Video Generation – PhD
| Company | ByteDance |
|---|---|
| Location | San Jose, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Entry Level/New Grad |
Requirements
- Final year Ph.D or recent Ph.D graduates in Computer Science or related engineering field.
- Highly competent in algorithms and programming; Strong coding skills in Python and PyTorch.
- Work and collaborate well with team members.
Responsibilities
- Conduct cutting-edge research and development in foundation model and multimodal machine learning, especially in the areas of generative AI (e.g. image, video, or 3d generation). The primary objective is to research cutting-edge video generation technology through innovation.
- Develop the foundation model to enhance the strategic advantages for ByteDance products.
- Explore new downstream products with artificial intelligence technology at its core.
Preferred Qualifications
- Candidates with publications in top-tier venues such as CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, SIGGRAPH or Multimedia, etc.
- Hands-on coding experience in deep learning frameworks and large-scale training experience.
- Experience in large-scale image and video processing and curation, particularly when it involves extensive work with foundation models.