Overview
The Road Algorithm Team is responsible for one of the most critical challenges in autonomous driving – accurate detection of drivable lanes. We combine Deep Learning, transformers, and Geometric Modeling to build cutting-edge perception algorithms. We are looking for an outstanding student to join our team and take part in developing next-generation algorithms that power autonomous driving systems.
Full job description
About The Role
The Road Algorithm Team is responsible for one of the most critical challenges in autonomous driving – accurate detection of drivable lanes.
We combine Deep Learning, transformers, and Geometric Modeling to build cutting-edge perception algorithms.
We are looking for an outstanding student to join our team and take part in developing next-generation algorithms that power autonomous driving systems.
What Will Your Job Look Like:
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Develop and improve computer vision and deep learning algorithms for large-scale data processing and labeling automation
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Work on modern deep learning and transformers
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Support research, prototyping, and experimentation on real-world autonomous driving data
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Collaborate closely with experienced algorithm developers and cross-functional teams
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Analyze performance, validate results, and contribute to scalable solutions integrated into internal tools and pipelines
All You Need Is:
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M.Sc. student in Computer Science, Electrical Engineering, or a related field; strong B.Sc. students with excellent academic performance will also be considered
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Practical experience developing computer vision or machine learning solutions using Python and frameworks such as PyTorch or TensorFlow – must
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Solid foundation in algorithms, data structures, and computer vision/deep learning fundamentals
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Strong analytical skills, a sense of ownership, and the ability to work collaboratively
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The position requires working at least 2 days a week from our Ramat Gan offices
Additional information
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!
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