AI Research Scientist, Video Generation and Post Training, FAIR
Meta· Computer Vision
Hybrid (Menlo Park, CA)$154k - $217kFull-timePosted 6mo ago
About the role
Research Scientist in Meta FAIR focusing on video generation and post-training of large-scale models to advance perceptual and generative foundations for next-generation AI systems. Collaborative, interdisciplinary role within Meta Superintelligence Labs.
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
Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, 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
Skills
Required:Video generationLarge-scale model training
Benefits
- bonus
- equity
- benefits (general)
Last updated Oct 23, 2026. Interested? Apply on the company site.
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