Research Scientist Intern, Multimodal Generative AI and Robotics (PhD)
Meta· Artificial Intelligence
Sunnyvale, CA$7.7k/mo - $12.7k/moInternPosted 1w ago
About the role
Internship in Meta Reality Labs Research's Surreal Vision group focusing on egocentric AI, multimodal generation, and robotics. Develop unified predictive models integrating language, vision, motion, and actions; advance generative AI for world modeling, video generation, and vision–language–action alignment; apply multimodal generation to robot learning and control; work on embodied AI using large-scale egocentric multimodal datasets. Internships range from 12 to 24 weeks with multiple start dates.
Responsibilities
- Plan and execute cutting-edge research and development to advance the state-of-the-art in machine learning and large-scale training.
- Collaborate with other researchers and engineers across machine perception teams at Meta to develop experiments, prototypes, and concepts that advance the state-of-the-art contextual AI and robotic systems.
- Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale high-quality sensing and machine reasoning.
Qualifications
- Currently has, or is in the process of obtaining a PhD degree in Computer Vision, Computer Graphics, 3D Machine Perception, Deep Learning or related field
- Knowledge in deep learning, computer vision, graphics, generative modeling, LLMs and VLMs
- Hands-on experience with implementing deep learning algorithms, large-scale training, benchmark and evaluation
- Experience working within Python environments such as PyTorch
- Experience working in a Unix environment
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Skills
Required:PhD-level domain knowledgeDeep learning, computer vision, graphics, generative modeling, LLMs and VLMsPython (PyTorch)Unix environment
Benefits
- In addition to base compensation, Meta offers benefits.
Last updated Oct 23, 2026. Interested? Apply on the company site.
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