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Deep Learning Developer - REM Modeling

You will be part of Mobileye's REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in Mobileye's autonomous driving and high-end Driving...

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Mobileye Careers Ramat Gan, Israel Verified 33 minutes ago Reference 173fb0c4-6d9d-4131-93d4-a41845dc6398
✓ 92% verification score · Source: Mobileye Careers · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFull time
CountryIsrael
DepartmentR&D

Overview

You will be part of Mobileye's REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in Mobileye's autonomous driving and high-end Driving Assistance systems. This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and as such is a complex system that requires a deep understanding of our map creation process as well as advanced technical abilities.

Full job description

About The Role

You will be part of Mobileye's REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in Mobileye's autonomous driving and high-end Driving Assistance systems.

This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and as such is a complex system that requires a deep understanding of our map creation process as well as advanced technical abilities.

What Will Your Job Look Like:

  • Develop and optimize computer vision and deep learning algorithms to accelerate data generation and labeling workflows for autonomous driving

  • Apply both classical computer vision techniques and modern deep learning methods to solve large-scale data challenges

  • Collaborate closely with development and annotation teams to enhance automation and ensure high-quality data

  • Own the entire lifecycle from prototyping to scalable deployment within internal pipelines and tools

  • Develop tools to evaluate and analyze algorithm performance, robustness, and operational efficiency

All You Need Is:

  • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance

  • Solid foundation in algorithms, data structures, and computer vision/deep learning fundamentals

  • Practical experience developing computer vision or machine learning solutions using Python and frameworks such as PyTorch or TensorFlow – must

  • Strong analytical skills, a sense of ownership, and the ability to work collaboratively

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