Research Scientist Intern, FAIR - Video Generation; PhD

Meta is seeking Research Interns to join the Fundamental AI Research (FAIR) Communication & Language team within Meta Superintelligence Labs (MSL).

Our mission is to advance the science of intelligence and develop technologies that push the boundaries of AI. We are looking for interns with interest in video generation and post-training of large-scale models to help build the perceptual and generative foundations for next-generation AI systems. This internship offers the opportunity to collaborate with a highly interdisciplinary team of scientists, engineers, and cross-functional partners, leveraging cutting-edge technology, resources, and research facilities.

Our interns have the opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

• Generative modeling for video (diffusion, flow matching, video synthesis)
• Post-training of large-scale video and multimodal models (SFT/RL, optimization, data curation)
• Video-language models and architectures for video generation
• Multimodal understanding, reasoning, and generation
• Frontier model development (e.g., Llama, LMMs)
• Perceptual foundations for real-time embodied agents and conversational AI

Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit

• Currently has or is in the process of obtaining a PhD degree in Computer Science, Electrical Engineering, Computer Vision, Machine Learning, Artificial Intelligence, relevant technical field, or equivalent
• Research and/or work experience in video generation, computer vision, or multimodal AI
• Experience with large-scale model training, post-training optimization techniques, and/or data curation
• Experience in Python, C++, or other related languages, and deep learning frameworks (e.g., PyTorch, Tensor Flow)
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
• Demonstrated research and software engineering experience via internships, industry or academic work experience, coding competitions, or widely used contributions in open source repositories (e.g., Git Hub)
• Experience with video generation, video synthesis, or multimodal fusion techniques
• Experience with video-language models and architectures relevant to video generation and post training
• Proven track record of achieving significant results, as demonstrated by grants, fellowships, patents, or publications at leading workshops, journals, or conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV)
• Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
• Experience solving complex problems and evaluating alternative solutions, tradeoffs, and perspectives to determine a path forward
• Experience working and communicating cross-functionally in a collaborative, interdisciplinary team environment
• Intent to return to degree-program after the completion of the internship/co-op