GenAI Video Vision Research Intern (PhD)

Meta; Bellevue, Menlo Park (WA, CA); On-site; USD 55,000 - 83,000; Part time

Job summary

Meta's Video Intelligence team is seeking a Research Intern to advance state-of-the-art GenAI video generation and understanding. You will collaborate with leaders in computer vision, generative modeling, and multimodal learning on cutting-edge projects.

Ideal candidates are pursuing a PhD in CS or EE, proficient in Python and PyTorch, and have publications or strong open-source contributions. This internship emphasizes research impact and hands-on experimentation in Bellevue, WA.

Qualifications

• PhD in CS, EE, or related field with focus on generative modeling, CV, or ML.
• Strong Python and PyTorch programming experience.
• Experience with generative models (diffusion, LLMs, autoregressive transformers).
• Authorized to work in the country of employment during the internship.
• Intent to return to your degree program after the internship.
• Demonstrated research achievements via grants, fellowships, patents, or publications.

Responsibilities

• Collaborate with experts in CV, generative modeling, and multimodal learning on research projects.
• Contribute to developing state-of-the-art video generation models and future video intelligence systems.
• Communicate findings and iterations clearly within a fast-paced team.

Skills

Python

PyTorch

Generative modeling

Video generation

Multimodal learning

Temporal modeling

Research experience

Open-source contributions

Education

PhD in Computer Science

PhD in Electrical Engineering

Tools

PyTorch

Diffusion models

Job description

Meta's Video Intelligence team is seeking a Research Intern to advance state-of-the-art GenAI video generation and understanding. You will collaborate with leaders in computer vision, generative modeling, and multimodal learning on cutting-edge projects.

Ideal candidates are pursuing a PhD in CS or EE, proficient in Python and PyTorch, and have publications or strong open-source contributions. This internship emphasizes research impact and hands-on experimentation in Bellevue, WA.