About the job
The Monetization GenAI Video Gen & Visual Search group, part of the Ads pillar, is building the next generation of generative AI for video - from creation to understanding to transformation - at a scale that reaches billions of users. We develop proprietary foundation models for video generation, video-to-video editing, audio generation (music, voiceover, dubbing), and multimodal video understanding powered by large language models. We produce industry leading video models, and our research translates into products that drive hundreds of millions of dollars in annual advertising revenue. We are looking for a technical leader in AI research to define the research vision across video and audio generation, drive breakthrough research, and shape the technical direction of the organization.
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
Qualifications
Minimum
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Has obtained a PhD in Computer Science, AI/ML, or a relevant technical field
Experience as a technical lead, driving major technical initiatives with cross-functional impact and influencing strategy across multiple teams
4+ years of experience training large language and/or vision models, with extensive and recent experience training multimodal LLMs
Research expertise in video generation/understanding, multimodal learning, or diffusion models
Demonstrated significant industry influence in the field of AI and/or recently published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV)
Preferred
First-author publications at top peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV)
Experience working on frontier-quality/state-of-the-art MLLM
Experience with audio/speech generation or processing
Experience with unified/multi-task foundation model architectures
Industry research lab experience