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Visual GenAI Research Expert

๐Ÿ•’ 3 days ago
Generative AIDeep LearningComputer VisionImage Generation
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๐Ÿ“œ Description

  • Research and develop image and video generation models for autonomous driving.
  • Explore and adapt world models, helping shape research and technical direction.
  • Own model development from experimentation and training through evaluation and integration.
  • Build scalable Python and PyTorch implementations for training and evaluating generative models.
  • Collaborate with AI researchers and perception teams on generative capabilities for training and evaluating autonomous driving systems.

๐Ÿ› ๏ธ Requirements

  • Hands-on experience training image or video generation models, including diffusion and flow-based models.
  • Experience with world models, multiview generation, 3D scene representations, or temporal modeling.
  • Experience training or adapting foundation models, including Vision-Language Models (VLMs) and other multimodal models.
  • Experience with distributed training and large-scale datasets.
  • Publications in top-tier conferences such as CVPR, NeurIPS, ICCV, or ECCV.
Full job description
How do you generate a driving scene that stays consistent over time, across cameras, and under controlled changes? These are exactly the types of problems we solve.

Mobileyeโ€™s Visual GenAI team develops image and video generation capabilities for autonomous driving, with a growing focus on video and world models.

Weโ€™re looking for a hands-on researcher to help shape our research direction and turn ideas into working capabilities, with access to large proprietary driving datasets and close collaboration with the teams developing Mobileyeโ€™s next generation of autonomous driving technology.
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

What will your job look like:

  • Research and develop image and video generation models, with a focus on temporal consistency, multiview coherence, and controllable driving-scene generation.
  • Explore and adapt state-of-the-art world models for autonomous driving, helping shape the teamโ€™s research and technical direction.
  • Own the full development lifecycle, from research and experimentation to model training, evaluation, and integration into real-world workflows.
  • Build scalable, clean Python and PyTorch implementations for training and evaluating generative models.
  • Collaborate with AI researchers and perception teams to develop generative capabilities for training and evaluating autonomous driving systems.
  • All you need is:

  • Ph.D. in Computer Science, Electrical Engineering, or a related field. Exceptional M.Sc. candidates with a specialization in Gen AI will also be considered.

  • 5+ years of industry experience in Deep Learning and Computer Vision, preferably working on generative AI or foundation models.

  • A hands-on approach and the ability to turn research ideas into working solutions.
  • Nice to have:

  • Hands-on experience training image or video generation models, including diffusion and flow-based models.
  • Experience with world models, multiview generation, 3D scene representations, or temporal modeling.
  • Experience training or adapting foundation models, including Vision-Language Models (VLMs) and other multimodal models.
  • Experience with distributed training and large-scale datasets.
  • Publications in top-tier conferences such as CVPR, NeurIPS, ICCV, or ECCV.
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