Ramat Gan
Full time
Join Mobileye’s Perception Solutions team and take part in building a new, impactful project from scratch, shaping the next generation of autonomous driving technology! Our team is project-oriented, working on significant computer vision challenges and solving them with cutting-edge neural networks combined with heuristic solutions. In this role, you will join right at the beginning of an end-to-end development cycle. You will leverage advanced approaches, including Transformer-based architectures, to enable direct vision modeling beyond traditional image-processing pipelines.
What will your job look like:
- Contribute to building a new deep learning project from scratch, with real impact on production systems.
- Work on end-to-end model development, including problem formulation, data understanding, model design, training, evaluation, optimization, and deployment.
- Develop and train state-of-the-art deep learning models for computer vision tasks.
- Explore and define the best technical approach in an open, research-driven environment, where solutions are not predefined.
- Tackle real-world challenges where model performance is critical and directly impacts product capabilities.
All you need is:
- M.Sc. in Computer Science, Electrical Engineering, or Software Engineering (Ph.D. is an advantage).
- 3+ years of hands-on experience in end-to-end deep learning model development and training.
- Experience working with Transformer-based models.
- Strong programming skills in Python and C++.
- Strong understanding of model behavior, training dynamics, and performance optimization.
- Ability to tackle complex challenges with strong problem-solving skills and a deep-dive approach.
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!
