Mobileye
Mobileye

Experienced Machine Learning Engineer

TLDR

Build multi-camera deep learning systems for close-range 3D perception, enabling automated parking and low-speed maneuvers in tight environments.

Mobileye’s Hawkeye team is developing advanced close-range 3D perception for autonomous vehicles, enabling safe automated parking and low-speed maneuvers in tight environments. We build multi-camera deep learning systems for precise and reliable understanding of the vehicle’s surroundings.

What will your job look like:

  • Research and develop cutting-edge end-to-end 3D perception models combining geometry and semantics.
  • Work on 3D Semantic Occupancy, Geometry Reasoning, 3D Reconstruction, 3D Object Detection, and related tasks.
  • Innovate in multi-view fusion, motion handling, and spatial representation learning.
  • Deliver models that run on real vehicles and integrate into production systems.
  • All you need is:

  • 4+ years of hands-on experience in Machine Learning and Deep Learning.
  • M.Sc. in a relevant field (Machine Learning / Computer Vision / Robotics / similar).
  • B.Sc. from a leading university.
  • Strong Python development skills.
  • Highly motivated, hard-working, proactive, and driven to solve challenging problems.
  • Ability to operate in a fast-paced research & development environment.
  • Nice to have:

  • PhD or relevant academic publications.
  • Experience with Linux, Git, Docker, C++.
  • Knowledge in 3D perception, computer vision, or robotics.
  •  Industry experience working on CV and Deep Learning.
  • 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 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
    View company profile