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AI Research Scientist, Computer Vision - Facebook Video Intelligence

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Meta

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Location:
United States , Menlo Park

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Contract Type:
Not provided

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Salary:

154000.00 - 217000.00 USD / Year

Job Description:

The Video Intelligence team is an applied AI research team within the Facebook pillar. This role is expected to develop advanced video generation and understanding foundation models, enabling innovative AI-driven video creation experiences and enhancing our ability to comprehend video content. The team is responsible for building State-of-the-art GenAI technology to empower video generation and understanding.

Job Responsibility:

  • Build a variety of multimodal foundation models such as text-to-video generative models, image-to-video generative models, video understanding models, unified native video generative models
  • Design core foundation model architectures and progressive pre-train
  • Post-train foundation models using techniques such as Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), and Low-Rank Adaptation (LoRA)
  • Conduct research to develop SOTA GenAI models for the Facebook family of apps
  • Collaborate with colleagues from the infrastructure and product teams on launching models

Requirements:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in Computer Science, Machine Learning, or a relevant technical field
  • 1+ year of industry experience training multimodal, computer vision, LLM or related AI/ML models
  • Experience owning and/or driving complex technical projects from end-to-end
  • Publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)
  • Programming experience in Python and hands-on experience with frameworks such as PyTorch
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Nice to have:

  • First-authored publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)
  • Experience collaborating in cross-functional teams, including product, engineering, and research
  • Experience building text-to-video generative models, image-to-video generative models, video understanding models, and/or unified native video generative models
What we offer:
  • bonus
  • equity
  • benefits

Additional Information:

Job Posted:
January 23, 2026

Job Link Share:

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