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Research Intern, Video & Image Generation

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Meta

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Location:
Israel , Tel Aviv

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The XR Tech Research team is seeking highly motivated Research Interns to join us in advancing the next generation of video and image generation technologies. Our team is dedicated to conducting foundational, state-of-the-art research in video generation, with a strong focus on pushing the scientific and technical boundaries of generative AI to enable future immersive and interactive experiences.

Job Responsibility:

  • Conduct research on advanced topics in video and image generation, including but not limited to generative diffusion and transformer architectures, spatio-temporal modeling, and multimodal integration
  • Design, implement, and evaluate novel algorithms and model architectures
  • Collaborate closely with researchers and engineers across the XR-Tech group and broader FAIR/GenAI teams
  • Contribute to publications in top-tier conferences and journals in AI, computer vision, and machine learning
  • Present findings and share insights that help shape both ongoing research and future directions

Requirements:

  • Currently pursuing a PhD in Computer Science, Electrical Engineering, or related field with a focus on machine learning, computer vision, or generative modeling
  • Strong research background with publications (or submissions) in top conferences such as CVPR, NeurIPS, ICLR, ICCV, ICML, or SIGGRAPH
  • Proficiency in deep learning frameworks such as PyTorch or TensorFlow
  • Solid understanding of generative models (diffusion models, GANs, VAEs, autoregressive transformers, etc.)
  • Strong programming skills and ability to work with large-scale datasets and compute infrastructure
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Nice to have:

  • Research experience in video generation, temporal modeling, or multimodal learning
  • Strong track record of contributions to open-source projects, benchmarks, or shared research artifacts
  • Demonstrated ability to work collaboratively in interdisciplinary research environments

Additional Information:

Job Posted:
January 23, 2026

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