Student Deep Learning Algorithm Developer
Jerusalem, Israel
R&D – Algorithms /
Full time /
Hybrid
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:
- Develop and improve computer vision and deep learning algorithms for large-scale data processing and labeling automation
- Work on modern deep learning and transformers
- Support research, prototyping, and experimentation on real-world autonomous driving data
- Collaborate closely with experienced algorithm developers and cross-functional teams
- Analyze performance, validate results, and contribute to scalable solutions integrated into internal tools and pipelines
All you need is:
- B.Sc. or M.Sc. student 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
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!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
