Experienced Deep Learning Algorithm Developer

Posted Yesterday
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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 state-of-the-art deep learning, computer vision, and geometric modeling algorithms for lane detection, ADAS, and autonomous driving. Responsibilities include research, prototyping, deployment on real-time embedded vehicle systems, dataset analysis, and collaboration with engineering and research teams to improve algorithm performance and robustness.
Summary Generated by Built In
The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms. 
We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving.

What will your job look like:

  • Research and develop state-of-the-art computer vision and deep learning algorithms for ADAS and autonomous driving.
  • Participate in the entire development cycle, from initial research and prototyping to deployment on real-time embedded systems within the vehicle. 
  • Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems. 
  • Analyze large datasets to improve algorithm performance and robustness.

All you need is:

  • B.Sc. or M.Sc. in Computer Science or Engineering, with excellent academic performance.
  •  3+ years of hands-on experience developing deep learning algorithms, preferably in computer vision or perception for autonomous driving systems.
  • Solid understanding of data structures, algorithms, and deep learning principles. 
  • Hands-on experience in algorithm development.
  • Strong problem-solving skills and the ability to work independently and as part of a team. 

Nice to have:

  • Experience with TensorFlow or PyTorch.
  • Familiarity with cloud platforms and tools (e.g., AWS, GCP).

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

  • Bachelor’s or master’s degree in Computer Science or Engineering with excellent academic performance
  • 3+ years of hands-on experience developing deep learning algorithms, preferably in computer vision or autonomous driving perception
  • Strong understanding of data structures, algorithms, and deep learning principles
  • Hands-on experience in algorithm development
  • Strong problem-solving skills and ability to work independently and collaboratively
  • Experience with TensorFlow or PyTorch
  • Familiarity with cloud platforms and tools such as AWS or GCP
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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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