Transformer-Based Deep Learning Algorithm Developer

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!

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.