PhD Research Intern — Long-Video Generation

Bytedance; San Jose (CA); On-site; USD 97,000 - 138,000; Part time

Benefits offered by this job

Health insurance

Paid holidays

Housing allowance

Wellbeing benefits

Job summary

ByteDance Seed Team seeks PhD interns to advance foundational models for visual generation and long-range video synthesis. You will contribute to research and development of multimodal generative models, with an emphasis on interactivity and controllability in video creation.

The program blends hands-on work, community-building, and mentorship, offering exposure to cutting-edge AI research and real-world applications in GenAI. Strong publication record is valued.

Qualifications

• PhD candidate in Computer Vision or ML required.
• Research experience in generative modeling for video or temporal sequences.
• First-author publications in top CV/ML conferences.
• Proficiency with deep learning frameworks and large video datasets.

Responsibilities

• 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 temporal drift, motion collapse, and high-frequency detail retention challenges.
• Investigate autoregressive or chunked generation strategies balancing quality and memory.
• Design evaluation protocols for long video quality and semantic continuity.

Skills

PhD candidate in CV/ML

Video generative modeling research

Publications in CVPR/ICCV/NeurIPS/ICML

Deep learning frameworks (PyTorch)

Education

PhD in Computer Vision or ML

Job description

ByteDance Seed Team seeks PhD interns to advance foundational models for visual generation and long-range video synthesis. You will contribute to research and development of multimodal generative models, with an emphasis on interactivity and controllability in video creation.

The program blends hands-on work, community-building, and mentorship, offering exposure to cutting-edge AI research and real-world applications in GenAI. Strong publication record is valued.