Research Scientist Graduate, Vision
ByteDance
Posted 14 Nov 2026, 04:47 ET
This job at a glance
- Who can apply
- New grads, no experience needed
- Must know
- LLMsComputer visionMachine learningData structures & algorithmsPythonPyTorch
- Work
- On-site in San Jose
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning15%Data structures & algorithms9%LLMs7%Computer vision5%of 100 similar entry-level jobs posted in the US this week
- Listed
- Nov 14, 2026 · still open
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About the Team
Established in 2023, the ByteDance Seed team is dedicated to pioneering new paths toward artificial general intelligence. The Seed Vision team focuses on foundational models for visual generation, developing multimodal generative models, and carrying out leading research and application development to solve fundamental computer vision challenges in GenAI.
Key Responsibilities
- Conduct cutting-edge research and development in foundation model, unified model, and multimodal machine learning, especially in the areas of generative AI (e.g., image, video, or 3D generation).
- Develop the foundation model to enhance the strategic advantages for ByteDance products.
Requirements & Tech Stack
- Highly competent in algorithms and programming.
- Strong coding skills in Python and PyTorch.
- Work and collaborate well with team members.
- Hands-on coding experience in deep learning frameworks.
- Experience in large-scale image and video processing and curation, particularly when it involves extensive work with foundation models.
Qualifications
- Individuals who are completing or have recently completed a PhD degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline.
- Candidates with publications in venues such as CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, SIGGRAPH, or Multimedia.
- Large-scale training experience.
- Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.