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Mobileye
Mobileye

Reinforcement Learning Researcher | Learned-Policy Group

Israel
Full-Time
Hybrid

TLDR

Build simulation-based training and closed-loop evaluation workflows for reinforcement-learning driving policies.

Build the intelligence behind the next driving decision.

We’re building a reinforcement-learning driving planner for complex, interactive road scenarios. We’re looking for a researcher to help take it from simulation to real vehicles.

You’ll develop policy models, rewards, and training methods. You’ll define how driving behavior is evaluated, analyze failures in closed loop, and validate improvements on the road. You’ll work in a small team at Mobileye and collaborate with control and other algorithm teams. 

This is a high-impact role with direct influence on a core part of Mobileye’s
driving technology and its future products.

What will your job look like?

  • Research and develop reinforcement-learning planning algorithms, including policy architectures, reward design, training objectives, and optimization methods.
  • Train and evaluate RL policies for difficult, interactive driving scenarios, building on the existing learning-based planner and complementary classical components.
  • Develop evaluation methods and relevant metrics for safety, progress, comfort, and interaction quality, and use them to guide experiments and analyze failures.
  • Build simulation-based training and closed-loop evaluation workflows.
  • Turn research ideas into reliable components of the driving stack.

    • All you need is:

  • M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field.
  • 3+ years of hands-on industry experience in deep learning, including designing and training neural networks.
  • Hands-on reinforcement-learning experience through research or practical application.
  • Experience in autonomous driving, robotics, motion planning, simulation, or closed-loop evaluation- an 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!

    Mobileye
    Mobileye

    Mobileye is a technology company at the forefront of the mobility revolution, developing advanced autonomous-driving and driver-assist systems. Our cutting-edge expertise in computer vision and machine learning not only powers self-driving vehicles but also enhances mobility infrastructure through sophisticated data analysis. With innovations like REM crowdsourced mapping and Responsibility-Sensitive Safety (RSS), we are shaping the future of intelligent transport.

    Founded
    Founded 1999
    Employees
    500+ employees
    Industry
    automotive
    Funding stage
    Public
    Stock ticker
    Publicly traded (MBLY)
    Total raised
    $3B raised
    Artificial Intelligence Automotive & Mobility Education
    View company profile
    Researcher