Ramat Gan
Full time
About us:
Mobileye is a global leader in Physical AI, developing computer vision, software, and hardware to power autonomous driving solutions and humanoid robots. Our mission is to bring autonomy into the real world by building intelligent technologies that are designed to expand accessibility and enhance everyday life, from advanced driver assistance systems (ADAS) and autonomous driving to robotics and humanoids.
Built on decades of automotive innovation and industrial-scale AI expertise, Mobileye technologies power more than 230 million vehicles worldwide. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for the real world.
About the team:
How do you generate a driving scene that stays consistent over time, across cameras, and under controlled changes? Mobileye’s Visual GenAI team develops image and video generation capabilities for autonomous driving, with a growing focus on video and world models. We’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 Mobileye’s next generation of autonomous driving technology.
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 team’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:
- M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field.
- 3+ 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.
- 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.
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!
