Senior Deep Learning Algorithm Developer

1 day ago

Jerusalem, Jerusalem, Israel Mobileye Full time ₪120,000 - ₪180,000 per year

Mobileye is a global leader in autonomous vehicle (AV) technology, pioneering advanced driver-assistance systems (ADAS) and self-driving solutions.

Across the company, Senior Deep Learning Algorithm Developers work at the forefront of AV/ADAS innovation - designing, training, and optimizing deep neural networks for tasks such as perception, mapping, and scene understanding. This includes working with large-scale datasets, leveraging frameworks like PyTorch or TensorFlow, and applying state-of-the-art techniques to tackle complex perception and decision-making challenges in real-world driving scenarios.

At Mobileye, Senior Deep Learning Algorithm Developers contribute across multiple AI domains, with most opportunities in Computer Vision and additional roles in areas such as NLP/LLMs and 3D Perception (Radar, LiDAR, Fusion). This role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact.

What will your job look like?
  • Design, develop and implement deep learning algorithms to solve complex problems in computer vision
  • Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
  • Collaborate with cross-functional teams to understand requirements and develop solutions.
  • Analyze large datasets to improve algorithm performance and robustness.
  • Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms
All you need is:
  • BSc in Computer Science, Electrical Engineering, Mathematics or Physics

  • Advanced degree (M.Sc. or Ph.D.)- an advantage

  • 5+ years of experience developing deep learning algorithms in Python, including end-to-end pipeline implementation (data preparation, training, validation, and analysis).

  • Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch.

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