Research Scientist Intern, FAIR - Video Generation (PhD)

About the role

Meta is seeking Research Interns to join the Fundamental AI Research (FAIR) Communication & Language team within Meta Superintelligence Labs (MSL). The mission is to advance the science of intelligence and develop technologies that push the boundaries of AI, with a focus on video generation and post-training of large-scale models to build perceptual and generative foundations for next-generation AI systems. Interns collaborate with a highly interdisciplinary team of scientists, engineers, and cross-functional partners, leveraging cutting-edge technology, resources, and research facilities. Internships are twelve (12) to twenty-four (24) weeks long with various start dates throughout the year. Learn more about FAIR research at https://ai.meta.com/research/.

Responsibilities

• Conduct fundamental and applied research in video generation, including generative models, video synthesis, and multimodal learning.
• Develop and optimize post-training paradigms for large-scale video and multimodal models, improving their performance, robustness, and generalization.
• Collaborate with teams across Meta to build perceptual foundations for real-time embodied agents and conversational AI.
• Contribute to the development of frontier models (e.g., Llama, LMMs) and push the boundaries of video and media generation.
• Brainstorm with research mentors, review literature and existing solutions for challenging real-world research problems.
• Develop novel solutions, implement prototypes, and perform extensive experiments to test proposed solutions in meaningful benchmarks and metrics; analyze results and verify conclusions.
• Draft and polish research reports and/or publications.
• Present research outcomes to internal and/or external audiences.
• Contribute research that can be applied to Meta product development.

Minimum Qualifications

• 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, TensorFlow).
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

• 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., GitHub).
• 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.

Pay

$7,650/month to $12,667/month + benefits. Individual compensation is determined by skills, qualifications, experience, and location. The listed range reflects base monthly rate only and does not include bonus, equity, or sales incentives, if applicable.

Schedule

Internships are twelve (12) to twenty-four (24) weeks long with various start dates throughout the year.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. From Facebook's launch in 2004 to apps like Messenger, Instagram, and WhatsApp, Meta has empowered billions worldwide. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.