Student Researcher Seed Vision – Long-Range Video Generation PhD

Student Researcher [Seed Vision – Long-Range Video Generation] – 2026 Start (PhD)

Location:

San Jose

Team:

Technology

Employment Type:

Intern

Job Code:

A215422

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About the team

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. Researching and developing foundational models for visual generation (images and videos), ensuring high interactivity and cont rollability in visual generation, understanding patterns in videos, and exploring various visual-oriented tasks based on generative foundational models.

PhD internships at Byte Dance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.

Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).

• Develop scalable architectures for long-range video generation with consistent motion, identity, and layout.
• Explore hierarchical or recurrent latent structures to support generation across long temporal spans.
• Address challenges in temporal drift, motion collapse, and high-frequency detail retention.
• Investigate autoregressive or chunked generation strategies that balance quality and memory.
• Design evaluation protocols for long video quality (e.g., realism, consistency, semantic continuity).

Minimum Qualifications:

• Currently pursuing a PhD in Computer Vision, Machine Learning, or a related field.
• Research experience in generative modeling, especially for video, motion, or temporal sequences.
• First-author publications in CVPR, ICCV, ECCV, NeurIPS, ICLR, or ICML.
• Proficiency in deep learning frameworks and experience with large-scale video datasets.

Preferred Qualifications:

• Experience with diffusion or transformer-based video models, or long-context sequence generation.
• Familiarity with long-form video datasets.
• Understanding of perceptual metrics and user-study-based video evaluation.

The hourly rate range for this position in the selected city is $60- $60.

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

Founded in 2023, the Byte Dance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.

With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.