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Mobileye Linkedin · Posted 4d ago

Deep Learning Tech Lead

Ramat Gan

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Indexed description

We are looking for a Deep Learning Tech Lead for Objects Modeling, who will be challenged by solving real-world problems using Computer Vision. Our mission in the algorithms department has a significant impact on autonomous vehicle technologies, external customers, and advanced driver-assistance systems (ADAS).

In this role, you will be responsible for the full cycle of deep learning R&D, including modeling new solutions and enhancing the performance of existing ones. Your responsibility will include design, implementation, guidance and mentoring for team members. You will leverage your extensive experience to lead multiple deep projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.

  • This role requires working at our Jerusalem offices 1 day per week.

What will your job look like:

  • Lead the design, development, and implementation of accurate and robust AI algorithms for new projects.
  • Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithm.
  • Design, develop and implement deep learning algorithms to solve complex problems in computer vision.
  • Take ownership of deep learning projects: Design solutions, oversee execution, and collaborate with talented Algorithm developers.
  • Collaborate with cross-functional teams to understand requirements and develop solutions.

All you need is:

  • Advanced degree (M.Sc. or Ph.D) in Computer Vision, Deep Learning, or Machine Learning.
  • 3+ years of experience in developing deep learning algorithms.
  • Knowledge of C++.
  • Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch.
  • Hands-on experience working with LLMs (e.g., for data generation, augmentation, or labeling) - Advantage.

Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

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