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Deep Learning Algorithm Engineer | Learned-Policy Group

🕒 4 days ago
📍 🇮🇱 Ramat Gan - Hybrid🎹 Mid-level🤖 AI Engineer💼 Full-Time
Deep LearningMachine LearningAlgorithmsData Structures
Apply Now

📜 Description

  • Develop and improve deep learning models for planning, decision making, and driving behavior.
  • Work across the full development cycle, from research papers and prototyping models to building data and evaluation tools.
  • Design training and evaluation workflows, including metrics for safety, progress, comfort, interaction quality, and robustness.
  • Analyze model behavior and failure modes, run experiments, and use the results to improve models and data.
  • Collaborate with control, simulation, data, and other algorithm teams to integrate and validate new capabilities.

🛠️ Requirements

  • B.Sc. or higher degree in Computer Science, Electrical Engineering, or a related field.
  • 3+ years of hands-on industry experience developing and training deep learning models.
  • Experience across several stages of the model lifecycle, such as research, model development, data pipelines, evaluation, tooling, integration, and deployment.
  • A solid foundation in machine learning, algorithms, and data structures.
  • Experience in autonomous driving, robotics, motion planning, prediction, simulation, or control is an advantage.
  • Familiarity with relevant deep learning fields such as computer vision, generative modeling, reinforcement learning, or multimodal learning is an advantage.
Full job description

Build the intelligence behind the next driving decision.

We’re developing learning-based driving policies for complex, real-world
scenarios. We’re looking for an engineer who can turn model ideas into reliable
algorithms that run as part of Mobileye’s driving systems.

You’ll work across model development, training, evaluation, and integration.
You’ll analyze model behavior, improve the data and training process, and work
with other teams to validate performance in simulation and on real vehicles.

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

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!

What will your job look like?

  • Develop and improve deep learning models for planning, decision making, and
    driving behavior.
  • Work across the full development cycle, from research papers and
    prototyping models to building data and evaluation tools, debugging
    infrastructure, and supporting deployment.
  • Design training and evaluation workflows, including metrics for safety,
    progress, comfort, interaction quality, and robustness.
  • Analyze model behavior and failure modes, run experiments, and use the results
    to improve models and data.
  • Collaborate with control, simulation, data, and other algorithm
    teams to integrate and validate new capabilities.

    • All you need is:

  • B.Sc. or higher degree in Computer Science, Electrical Engineering, or a
    related field.
  • 3+ years of hands-on industry experience developing and training deep
    learning models.
  • Experience across several stages of the model lifecycle, such as
    research, model development, data pipelines, evaluation, tooling,
    integration, and deployment.
  • A solid foundation in machine learning, algorithms, and data structures.
  • Experience in autonomous driving, robotics, motion planning, prediction,
    simulation, or control- an advantage
  • Familiarity with relevant deep learning fields such as computer vision,
    generative modeling, reinforcement learning, or multimodal learning- an advantage
    • Apply Now

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