Deep Learning Algorithm Developer - M.Sc. Graduate

Posted 9 Days Ago
Be an Early Applicant
Hiring Remotely in Jerusalem, ISR
Remote or Hybrid
Entry level
Automotive • Automation
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assist technologies.
The Role
Develop and train deep learning models for autonomous-driving perception, including object detection, scene understanding, and 3D perception. Design and analyze end-to-end pipelines from data preparation through deployment, collaborate with algorithm, software, and data teams, and research methods in computer vision, multi-task learning, and robotics to improve production model performance and efficiency.
Summary Generated by Built In
We are looking for an M.Sc. Graduate Deep Learning Algorithm Developer to join one of our teams developing perception technologies for autonomous driving.
Our group tackles diverse challenges — from object detection and scene understanding to 3D perception — using large-scale, real-world in-house datasets and state-of-the-art deep learning models.

What will your job look like:

  • Develop and train neural networks for complex perception tasks in real-world driving environments.
  • Design and analyze deep learning pipelines, from data to deployment.
  • Collaborate with algorithm, software, and data experts to deliver production-ready models.
  • Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency.

All you need is:

  • M.Sc. in a relevant field (Machine Learning / Computer Vision / Robotics / similar) - Must
  • B.Sc. from a leading university
  • Solid background in Machine Learning and Deep Learning
  • 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
  •  
    Advantages:
  • 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!

Skills Required

  • M.Sc. in Machine Learning, Computer Vision, Robotics, or a similar relevant field
  • B.Sc. from a leading university
  • Solid background in Machine Learning and Deep Learning
  • Strong Python development skills
  • Highly motivated, hard-working, proactive, and driven to solve challenging problems
  • Ability to operate in a fast-paced research and development environment
  • PhD or relevant academic publications
  • Experience with Linux, Git, Docker, and C++
  • Knowledge of 3D perception, computer vision, or robotics
  • Industry experience working on computer vision and deep learning
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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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