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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.
Skills Required
- 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
- Excellent proficiency in Python and PyTorch
- Strong problem-solving, research, and analytical thinking skills
- Experience with Generative AI methods, including Diffusion Models or GANs
- Experience with Vision-Language Models and multimodal learning
- Publications in top-tier conferences such as CVPR, NeurIPS, or ECCV
- Experience with Linux, AWS, Docker, and virtual environments
- Knowledge of classic computer vision
What We Do
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.
Why Work With Us
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.
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