About the role#
The Video Intelligence team works on generative AI for video creation and content understanding. As a Research Intern, you will join an applied AI research group to develop models that push the boundaries of video generation. You will work with experts in computer vision and machine learning to build systems that influence both academic research and future applications.
What you'll do#
- Conduct research on topics like text-to-video, image-to-video, and unified native video generative models.
- Design, implement, and evaluate new algorithms and model architectures.
- Collaborate with researchers and engineers across the Video Intelligence and GenAI teams.
- Contribute to publications in top AI and computer vision conferences.
- Present findings to help guide ongoing research and future project directions.
What you'll need#
- Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, or a related field.
- Focus on generative modeling, computer vision, or machine learning.
- Programming experience in Python and deep learning frameworks like PyTorch.
- Experience with generative models such as diffusion models, LLMs, or autoregressive transformers.
- Intent to return to your degree program after the internship.
- Research experience in video generation, temporal modeling, or multimodal learning.
- A record of research achievements through publications at conferences like CVPR, ICCV, NeurIPS, ICLR, ICML, or SIGGRAPH.
- Experience contributing to open-source projects or research benchmarks.
- Ability to identify research opportunities, select appropriate ML methods, and drive iterations based on analysis.
- Must obtain and maintain valid work authorization in the United States.
Location & details#
- Location: Menlo Park, California.
- Modality: On-site.
- Employment: Full-time, paid internship with a rolling term.
About Meta
Meta develops software and social media applications. It operates platforms such as Facebook, Messenger, Instagram, and WhatsApp. The company maintains headquarters in Menlo Park, California. Current work focuses on augmented and virtual reality alongside artificial intelligence and machine learning.
How to get in at Meta
Landing an internship at Meta requires a proactive approach to the application process. Intern Insider sends an instant alert the moment a role matching your target is published, allowing you to apply among the first. Early applicants often have their materials reviewed before the applicant pool grows significantly. You can use Intern Insider to surface the recruiters behind specific roles at Meta. Reaching out directly to these individuals to ask about the position or a referral often improves your response rates compared to applying into a queue.
