Research Scientist Intern, Computer Vision - Video Intelligence (PhD)

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

Job summary

Meta's Video Intelligence team is seeking motivated Research Interns to advance state-of-the-art video generation and understanding. You will work with experts in computer vision, generative modeling, and multimodal learning on frontier research projects.

Ideal candidates are PhD students in CS/EE with a focus on generative modeling, CV, or ML, proficient in Python and PyTorch, and experienced with diffusion models, LLMs, or autoregressive transformers.

Qualifications

• Currently pursuing a Ph.D. in CS, EE, or related field with a focus on generative modeling, CV, or ML.
• Proven track record of solid research achievements (grants, fellowships, patents, publications).
• Strong programming in Python and hands-on experience with deep learning frameworks like PyTorch.
• Experience with generative models (diffusion, LLMs, autoregressive transformers).
• Must have work authorization in the country of employment and plan to return to degree program after internship.

Responsibilities

• Collaborate with leading experts in CV, generative modeling, and multimodal learning.
• Contribute to research projects at the frontier of video generation models.
• Communicate results and insights to cross-functional teams and document findings.

Skills

Python programming

PyTorch

Generative modeling

Computer vision

Multimodal learning

Cross-functional communication

Research analysis

Education

PhD in Computer Science or Electrical Engineering

Tools

PyTorch

Diffusion models

LLMs

Autoregressive transformers

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.

• 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