Research Scientist Intern, Video Intelligence for GenAI/Computer Vision (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

The Video Intelligence team is seeking highly motivated Research Interns to join us in advancing the next generation of video generation technologies. The Video Intelligence team is an applied AI research team within the Facebook pillar, and is responsible for building state-of-the-art GenAI technology to empower video generation and understanding, enabling innovative AI-driven video creation experiences and enhancing our ability to comprehend video content.

As a Research Intern, you will work alongside leading experts in computer vision, generative modeling, and multimodal learning, contributing to research projects at the frontier of developing advanced video generation models. Our work not only advances the academic field but also lays the groundwork for future video intelligence systems and applications.

Requirements

• Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Electrical Engineering, or related field with a focus on generative modeling, computer vision, or machine learning
• Programming experience in Python and hands-on experience in deep learning frameworks such as PyTorch
• Experience working on generative models e.g. diffusion models, LLM, autoregressive transformers, etc
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
• Intent to return to the degree program after the completion of the internship/co-op
• Proven track record of solid research achievements as demonstrated by grants, fellowships, patents, as well as publications at leading AI conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, or SIGGRAPH
• Strong track record of contributions to open-source projects, benchmarks, or shared research artifacts
• Research experience in video generation, temporal modeling, multimodal learning or unified native video generative models
• Experience working and communicating cross functionally in a fast-paced team environment.
• Ideal candidates should have the ability to quickly understand and identify the research opportunities behind real-world applications, select the appropriate ML methods to explore, and proactively drive the iterations based on clear analysis of the current results