Deep Learning Algorithm Engineer - REM Semantics

Sorry, this job was removed at 08:24 a.m. (UTC) on Monday, Aug 10, 2026
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Hiring Remotely in Jerusalem, ISR
Remote or Hybrid
Mid level
Automotive • Automation
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assist technologies.
The Role
Design, develop, and deploy deep learning algorithms and semantic understanding engines for HD mapping and automotive perception. Lead end-to-end projects from research and prototyping to training, evaluation, integration, and scalable deployment using large-scale driving datasets. Collaborate across teams to improve model accuracy, robustness, and runtime efficiency.
Summary Generated by Built In

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. 

You will be joining the team that builds the state-of-the-art AI-powered relevancy systems at scale. You will be designing and implementing semantic understanding engines that power data-driven products across autonomous driving and beyond, combining cutting-edge Computer Vision, Graph Neural Networks, and efficient inference to solve real-world perception challenges. 


What will your job look like:

    • Conduct hands-on research and development of AI and Deep Learning algorithms for real-world automotive perception tasks.

    • Own projects end-to-end — from concept, through research, prototyping, designing, training, and evaluating neural network architectures, to integration and scalable deployment. 

    • Analyze challenging edge cases and continuously improve model performance in complex driving scenarios.

    • Collaborate with algorithm developers, software engineers, product managers and system teams across the organization. 

    • Work with large-scale datasets and real-world driving scenarios to improve model accuracy, robustness, and runtime efficiency. 

    • Bring your ideas into production-ready systems that have a direct, measurable impact on autonomous vehicle technologies used worldwide. 

All you need is:

    • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance. 

    • 3+ years of hands-on experience developing deep learning solutions using Python and frameworks such as PyTorch. 

    • Solid foundation in Algorithms, Machine Learning, and Deep Learning fundamentals (Computer Vision / Graph Neural Networks – advantage).

    • Strong analytical skills, a sense of ownership, and the ability to work collaboratively.

Nice to have:

    • Experience leveraging AI agents and modern productivity tools in development workflows.
    • Experience with cloud environments and big data tools.

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!

Skills Required

  • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or related field
  • 3+ years developing deep learning solutions using Python and frameworks such as PyTorch
  • Solid foundation in Algorithms, Machine Learning, and Deep Learning fundamentals
  • Strong analytical skills, ownership mindset, and ability to work collaboratively
  • Experience with Computer Vision
  • Experience with Graph Neural Networks
  • Experience leveraging AI agents and modern productivity tools in development workflows
  • Experience with cloud environments and big data tools

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The Company
HQ: Jerusalem
3,700 Employees

What We Do

Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.

Why Work With Us

Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.

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