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Mobileye
Mobileye

Reinforcement Learning Researcher | Learned-Policy Group

Israel
Full-Time
Hybrid
This job is no longer available and isn't accepting applications.

TLDR

Develop reinforcement-learning planners for interactive driving scenarios, from simulation-based training to closed-loop evaluation on real vehicles.

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
    No longer accepting applications

    This job is no longer available