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

Meta; Singapore; On-site; SGD 17,000 - 23,000; Part time

Job summary

Meta's Video Intelligence team is seeking highly motivated Research Interns to advance the next generation of video generation technologies. The internship offers hands-on opportunities in computer vision, generative modeling, and multimodal learning within Facebook's AI research pillar.

Candidates will contribute to cutting-edge video generation and understanding research, with potential impact on future video intelligence systems.

Qualifications

• Working toward a PhD in CS/EE with focus on generative modeling or CV.
• Proficient in Python; hands-on PyTorch experience.
• Experience with generative models (diffusion, LLM, autoregressive Transformers).
• Experience publishing at AI conferences and open-source contributions.
• Must have work authorization in the country of employment.

Skills

Python

PyTorch

Generative models

Video generation

Multimodal learning

Cross-functional communication

Education

Ph.D. candidate in CS/EE or related

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.