AI Researcher - World Model

About the Role

You will join the World Modeling team working on a breakthrough system that fuses aerial imagery with live ground-level views to create a detailed and accurate understanding of a vehicle’s surroundings. The role focuses on advancing AI-driven, cloud-defined vehicle technology by transforming ambitious research ideas into practical deep learning solutions.

What You’ll Do

• Investigate, build, and refine advanced computer vision models such as detectors, segmentation systems, transformers, and self-supervised learning methods.
• Convert research outcomes into deployable algorithms, producing clean, efficient, and scalable PyTorch code.
• Prototype new approaches, test inventive model designs, and keep improving performance beyond current state-of-the-art results.
• Own projects throughout the full lifecycle, from initial concept and experimentation to production deployment.

What We’re Looking For

• A master’s degree in Computer Science or Electrical Engineering from a strong university; a PhD is considered an advantage.
• At least 3 years of practical experience in deep learning and computer vision using Python.
• Demonstrated ability to train and deploy neural networks with strong performance and efficiency.
• Availability to work full time from the Tel Aviv headquarters.

Additional Advantages

• Evidence of publishing research papers in leading deep learning or computer vision conferences or journals.
• Background in classical computer vision techniques such as homography, PnP, and feature matching.
• Experience creating optimized real-time software for edge hardware.