About the role#
The Video Intelligence team develops technologies for video generation and understanding. As a Research Scientist Intern, you will work with experts in computer vision, generative modeling, and multimodal learning. You will contribute to projects that advance the field and inform future video intelligence systems.
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 novel algorithms and model architectures.
- Collaborate with researchers and engineers across the Video Intelligence and GenAI teams.
- Contribute to publications in top-tier AI, computer vision, and machine learning conferences.
- Present findings to help shape ongoing research and future project directions.
What you'll need#
- Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on generative modeling, computer vision, or machine learning.
- Programming experience in Python and hands-on work with 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.
- A track record of research achievements through publications at conferences like CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, or SIGGRAPH, as well as patents or fellowships.
- Experience with open-source projects, benchmarks, or shared research artifacts.
- Research experience in video generation, temporal modeling, or multimodal learning.
- Ability to obtain work authorization in the country of employment at the time of hire.
Location & details#
- Locations: Bellevue, Washington and Menlo Park, California.
- Work Modality: On-site.
- Employment: Full-time internship.
- Compensation: $7,650 to $12,667 per month.
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.
