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Research Scientist, Foundation Model, Video Generation, University Graduates - 2024 Start (PhD)

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1mo ago

💼 Graduate Job

San Jose

AI generated summary

  • You need a Ph.D in Computer Science, strong Python and PyTorch skills, collaborative work ethic, publication record in top venues, deep learning framework experience, and large-scale image/video processing expertise.
  • You will research and develop foundation model for video generation, innovate in generative AI, enhance ByteDance products, and explore AI-based downstream products.

Graduate Job

Research & DevelopmentSan Jose


  • Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.


  • 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.
  • 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.

Education requirements

Final Year

Area of Responsibilities

Research & Development


  • 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.


Work type

Full time

Work mode



San Jose