<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> Our breakthrough World Model technology combines aerial imagery with real-time ground views to build an accurate, rich representation of the vehicle's environment. As part of our World Modeling team, you will drive the next generation of AI-powered, cloud-defined vehicle technology—tackling ambitious research and turning cutting-edge deep learning into real-world solutions.<br/><br/>Responsibilities:<br/><br/><ul><li>Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).</li><li>Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.</li><li>Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.</li><li>Take ownership of your work end-to-end, from concept through prototyping to deployment in production.<br/><br/></li></ul>Requirements:<br/><br/><ul><li>M.Sc. in Computer Science / Electrical Engineering from a leading university. Ph.d - Advantage.</li><li>3+ years of hands-on experience in deep learning and computer vision in Python.</li><li>Proven ability to train and deploy neural networks with high performance and efficiency. </li><li>Full-time availability at our Tel Aviv HQ.<br/><br/></li></ul><strong>Advantages: <br/><br/></strong><ul><li>Proven track record of writing and publishing papers in top-tier deep learning or computer vision conferences or journals.</li><li>Experience with classical Computer Vision algorithms (e.g. homography, PnP, feature matching).</li><li>Experience developing optimized, real-time code for edge devices.</li></ul> </div>