AI Research Scientist, Video Generation and Post Training, FAIR

About the role

Meta is seeking a Research Scientist to join the Fundamental AI Research (FAIR) team within Meta Superintelligence Labs (MSL). The mission is to advance the science of intelligence and develop technologies that push the boundaries of AI. The role focuses on video generation and post‑training of large‑scale models to build perceptual and generative foundations for next‑generation AI systems, collaborating with an interdisciplinary team of scientists, engineers, and cross‑functional partners.

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 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 and deployment of frontier models (e.g., Llama, LMMs) and push the boundaries of video and media generation.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• PhD or equivalent experience in Computer Science, Electrical Engineering, or a related field.
• Demonstrated expertise in video generation, computer vision, or multimodal AI.
• Experience with large‑scale model training, post‑training optimization techniques, and data curation.
• Publication record in relevant fields.

Preferred Qualifications

• Research and software engineering experience via internships, industry or academic work, coding competitions, or widely used open‑source contributions.
• 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 significant results demonstrated by grants, fellowships, patents, or publications at leading venues (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV).
• Ability to solve complex problems, evaluate alternatives, and determine optimal paths forward.
• Experience working and communicating cross‑functionally in a collaborative, interdisciplinary team environment.

About Meta

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

Pay

$154,000 – $217,000 per year, plus bonus, equity, and benefits. Individual compensation is determined by skills, qualifications, experience, and location.