AI Research Scientist, Multimodal: Video & Audio Generation
Meta
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Job summary
Meta's Monetization GenAI Video team is building the next generation of generative AI for video—creating, understanding, and transforming at scale to reach billions of users. We develop foundation models for video generation, video-to-video editing, audio generation, and multimodal video understanding powered by large language models.
The team seeks AI Research Scientists to define the research vision across video and audio generation, drive breakthroughs, and shape the technical direction of
Qualifications
- Bachelor's degree in CS/engineering or related field.
- PhD in CS/AI/ML or related field.
- Experience as technical lead on a team and/or managing complex projects end-to-end.
- 2+ years of training large language and/or vision models with multimodal LLMs.
- Research expertise in video generation/understanding, multimodal learning, or diffusion models.
- Notable industry research contributions with top conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, CVPR).
- Experience with frontier-quality/state-of-the-art MLLMs.
- Experience with audio/speech generation or processing.
- Experience with unified/multi-task foundation model architectures.
- Industry research lab experience.
Responsibilities
- Lead end-to-end AI research and model development for video-centric generative AI across Meta's advertising surfaces.
- Drive advancements in video generation & enhancement.
- Develop video-to-video & audio generation capabilities.
- Advance video & visual understanding through novel research.
- Conduct foundation model research to support generative AI innovation.
- Define research agendas and pioneer new directions in video/audio generation and multimodal understanding.
Skills
Education
Job description
Meta's Monetization GenAI Video team is building the next generation of generative AI for video—creating, understanding, and transforming at scale to reach billions of users. We develop foundation models for video generation, video-to-video editing, audio generation, and multimodal video understanding powered by large language models.
The team seeks AI Research Scientists to define the research vision across video and audio generation, drive breakthroughs, and shape the technical direction of
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