AI Researcher - World Model
Posted Jun 10 · 0 applicants
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The role in plain words
- M.Sc. in Computer Science / Electrical Engineering from a leading university
- 6+ 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
- Ph.D. in Computer Science / Electrical Engineering
- Proven track record of writing and publishing papers in top-tier deep learning or computer vision conferences or journals
- Experience with classical Computer Vision algorithms (e.g. homography, PnP, feature matching)
- Experience developing optimized, real-time code for edge devices
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Who this suits
Full job description
Original listing · kept for referenceOur 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.
Requirements: M.Sc. in Computer Science / Electrical Engineering from a leading university. Ph.d - Advantage. 6+ 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. Advantages: Proven track record of writing and publishing papers in top-tier deep learning or computer vision conferences or journals. Experience with classical Computer Vision algorithms (e.g. homography, PnP, feature matching). Experience developing optimized, real-time code for edge devices.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- M.Sc. in Computer Science / Electrical Engineering from a leading university, 6+ 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