Machine Learning Engineer jobs in Jerusalem

We are looking for an M.Sc. Graduate Deep Learning Algorithm Developer to join one of our teams developing perception technologies for autonomous driving. Our group tackles diverse challenges — from object detection and scene understanding to 3D perception — using large-scale, real-world in-house datasets and state-of-the-art deep learning models. What will your job look like: • Develop and train neural networks for complex perception tasks in real-world driving environments. • Design and analyze deep learning pipelines, from data to deployment. • Collaborate with algorithm, software, and data experts to deliver production-ready models. • Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency. All you need is: • M.Sc. in a relevant field (Machine Learning / Computer Vision / Robotics / similar) - Must • B.Sc. from a leading university • Solid background in Machine Learning and Deep Learning • Strong Python development skills • Highly motivated, hard-working, proactive, and driven to solve challenging problems • Ability to operate in a fast-paced research & development environment Advantages: • PhD or relevant academic publications • Experience with Linux, Git, Docker, C++ • Knowledge in 3D perception, computer vision, or robotics • Industry experience working on CV and Deep Learning 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!

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. You will be joining the team that builds the state-of-the-art AI-powered relevancy systems at scale. You will be designing and implementing semantic understanding engines that power data-driven products across autonomous driving and beyond, combining cutting-edge Computer Vision, Graph Neural Networks, and efficient inference to solve real-world perception challenges. What will your job look like: • Conduct hands-on research and development of AI and Deep Learning algorithms for real-world automotive perception tasks. • Own projects end-to-end — from concept, through research, prototyping, designing, training, and evaluating neural network architectures, to integration and scalable deployment. • Analyze challenging edge cases and continuously improve model performance in complex driving scenarios. • Collaborate with algorithm developers, software engineers, product managers and system teams across the organization. • Work with large-scale datasets and real-world driving scenarios to improve model accuracy, robustness, and runtime efficiency. • Bring your ideas into production-ready systems that have a direct, measurable impact on autonomous vehicle technologies used worldwide. All you need is: • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance. • 3+ years of hands-on experience developing deep learning solutions using Python and frameworks such as PyTorch. • Solid foundation in Algorithms, Machine Learning, and Deep Learning fundamentals (Computer Vision / Graph Neural Networks – advantage). • Strong analytical skills, a sense of ownership, and the ability to work collaboratively. Nice to have: • Experience leveraging AI agents and modern productivity tools in development workflows. • Experience with cloud environments and big data tools. 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!