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Deep Learning Developer - REM Modeling

📅 Sep 11, 2025
📍 🇮🇱 Ramat Gan - Hybrid🎹 Mid-level🤖 AI Engineer💼 Full-Time
Computer VisionDeep LearningPythonPytorch
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📜 Description

  • Collaborate closely with development and annotation teams to enhance automation and ensure high-quality data
  • Own the entire lifecycle from prototyping to scalable deployment within internal pipelines and tools
  • Develop tools to evaluate and analyze algorithm performance, robustness, and operational efficiency

🛠️ Requirements

  • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field with strong academic performance
  • Solid foundation in algorithms, data structures, and computer vision/deep learning fundamentals
  • Practical experience developing computer vision or machine learning solutions using Python and frameworks such as PyTorch or TensorFlow
  • Strong analytical skills and a sense of ownership
  • Ability to work collaboratively

✨ Benefits

  • Develop and optimize computer vision and deep learning algorithms to accelerate data generation and labeling workflows for autonomous driving
  • Apply both classical computer vision techniques and modern deep learning methods to solve large-scale data challenges
Full job description
You will be part of Mobileye's REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in Mobileye's autonomous driving and high-end Driving Assistance systems.
This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and as such is a complex system that requires a deep understanding of our map creation process as well as advanced technical abilities.

What will your job look like:

  • Develop and optimize computer vision and deep learning algorithms to accelerate data generation and labeling workflows for autonomous driving
  • Apply both classical computer vision techniques and modern deep learning methods to solve large-scale data challenges
  • Collaborate closely with development and annotation teams to enhance automation and ensure high-quality data
  • Own the entire lifecycle from prototyping to scalable deployment within internal pipelines and tools
  • Develop tools to evaluate and analyze algorithm performance, robustness, and operational efficiency

    • All you need is:

  • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance
  • Solid foundation in algorithms, data structures, and computer vision/deep learning fundamentals
  • Practical experience developing computer vision or machine learning solutions using Python and frameworks such as PyTorch or TensorFlow – must
  • Strong analytical skills, a sense of ownership, and the ability to work collaboratively
    • Apply Now

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