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.
What you'll do
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.
Requirements
3+ years of hands-on experience in deep learning and computer vision in Python.
Proven ability to train and deploy neural networks with high performance and efficiency.
Full-time availability at our Tel Aviv HQ.
Nice to have
Proven track record of writing and publishing papers in top-tier deep learning or computer vision conferences or journals.