Deep Learning Algorithm Developer - Perception Solutions

Posted 3 Days Ago
Be an Early Applicant
Ramat Gan, ISR
Hybrid
Mid level
Automotive • Automation
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assist technologies.
The Role
Develop end-to-end deep learning models for computer vision in autonomous driving. Responsibilities include problem formulation, data analysis, model design, training, evaluation, optimization, and deployment, working on new projects with production impact.
Summary Generated by Built In

Join Mobileye’s Perception Solutions team, working on significant computer vision challenges and solving them with cutting-edge neural networks combined with heuristic solutions.

In this role, you will join at the beginning of an end-to-end development cycle, leveraging advanced approaches to enable direct vision modeling beyond traditional image-processing pipelines and help advance the next generation of autonomous driving technology. 

What will your job look like:

  • Contribute to building a new deep learning project from scratch, with real impact on production systems.
  • Work on end-to-end model development, including problem formulation, data understanding, model design, training, evaluation, optimization, and deployment.
  • Develop and train state-of-the-art deep learning models for computer vision tasks.
  • Explore and define the best technical approach in an open, research-driven environment, where solutions are not predefined.
  • Tackle real-world challenges where model performance is critical and directly impacts product capabilities.                                  

All you need is:

    • M.Sc. in Computer Science, Electrical Engineering, or Software Engineering (Ph.D. is an advantage).
    • 3+ years of hands-on experience in end-to-end deep learning model development and training.
    • Strong programming skills in Python and C++.
    • Experience working with Transformer-based models- advantage.
    • Strong understanding of model behavior, training dynamics, and performance optimization.
    • Ability to tackle complex challenges with strong problem-solving skills and a deep-dive approach.

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

  • M.Sc. in Computer Science, Electrical Engineering, or Software Engineering
  • Ph.D. in a related field
  • 3+ years of hands-on experience in end-to-end deep learning model development and training
  • Strong programming skills in Python
  • Strong programming skills in C++
  • Experience working with Transformer-based models
  • Strong understanding of model behavior, training dynamics, and performance optimization
  • Strong problem-solving skills and ability to tackle complex challenges with deep-dive approach
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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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