Machine Learning Engineer jobs in Ramat Gan

We are seeking a Deep Learning Algorithm Developer with strong software engineering skills. Our team is project-oriented, meaning we are assigned significant computer vision projects and solve them using novel, state-of-the-art neural networks. Projects can be initiated both bottom-up and top-down, and they are always interesting and challenging. What will your job look like: • The job consists of a mix of algorithmic research and algorithms development, with an emphasis on deep neural networks. • You will learn and deploy state-of-the-art techniques to achieve world-class results which will allow the safe development of autonomous driving features and advanced driver assistant systems. • The work is typically done in teams and the amount of team interaction varies based on the needs and the employees' tendencies and preferences. • You will be solving algorithmic problems in many fields including mapping, and geometric problems by using heuristic solutions in addition to neural networks. All you need is: • B.Sc. in Computer Science, Electrical Engineering, or related field. • Advanced degree (M.Sc. or Ph.D) in Computer Vision, Deep Learning, or Machine Learning- advantage. • 2+ years of experience in developing DL algorithms. • Python programming skills. • Experience with training transformers in PyTorch. 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! 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!

The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms. We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving. What will your job look like: • Develop and optimize computer vision and deep learning algorithms to accelerate data generation and labeling workflows for autonomous driving. • Apply both classical computer vision techniques and modern deep learning methods to solve large-scale data challenges. • Collaborate closely with development and annotation teams to enhance automation and ensure high-quality data. • Own the entire lifecycle from prototyping to scalable deployment within internal pipelines and tools. • Develop tools to evaluate and analyze algorithm performance, robustness, and operational efficiency. All you need is: • B.Sc. or M.Sc. 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!

The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms. We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving. What will your job look like: • Research and develop state-of-the-art computer vision and deep learning algorithms for ADAS and autonomous driving. • Participate in the entire development cycle, from initial research and prototyping to deployment on real-time embedded systems within the vehicle. • Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems. • Analyze large datasets to improve algorithm performance and robustness. All you need is: • B.Sc. or M.Sc. in Computer Science or Engineering, with excellent academic performance. • 4+ years of hands-on experience developing deep learning algorithms, preferably in computer vision or perception for autonomous driving systems. • Solid understanding of data structures, algorithms, and deep learning principles. • Hands-on experience in algorithm development. • Strong problem-solving skills and the ability to work independently and as part of a team. Nice to have: • Experience with TensorFlow or PyTorch. • Familiarity with cloud platforms and tools (e.g., AWS, GCP). 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!

Mobileye is a global leader in autonomous vehicle (AV) technology. If you’re an experienced deep learning developer driven by a passion to shape the future of mobility, join us to make AV a reality. The 3D Perception team builds transformer-based vision models trained on large-scale driving video for the next generation of autonomous vehicles. Our end-to-end temporal network fuses multi-view cameras into a unified 3D sensing state that powers planning. What will your job look like? • Develop, implement and optimize state-of-the-art transformer-based temporal vision models. • Extend network capabilities, analyze results and errors, and deliver measurable improvements to the driving scene understanding. • Work shoulder-to-shoulder in a large, collaborative group. • Research and integrate the latest advancements in 3d detection and perception. • Improve algorithmic performance through rigorous experimentation and innovation. • Work with large-scale datasets. • Research new advances in the field from the literature and industry. • Code primarily in Python. All you need is: • M.Sc. in Computer Science or a related field. • 3+ years of experience developing, implementing, training and analyzing deep learning algorithms in Python. • Top-tier mathematical, analytical, and coding skills. • Strong self-learner and research capabilities with a proven track record from industry or academia. Nice to have: • PhD in Computer Science or a related discipline. • Experience in computer vision, multi-view geometry and 3D reconstruction.

Mobileye’s Hawkeye team is developing advanced close-range 3D perception for autonomous vehicles, enabling safe automated parking and low-speed maneuvers in tight environments. We build multi-camera deep learning systems for precise and reliable understanding of the vehicle’s surroundings. What will your job look like: • Research and develop cutting-edge end-to-end 3D perception models combining geometry and semantics. • Work on 3D Semantic Occupancy, Geometry Reasoning, 3D Reconstruction, 3D Object Detection, and related tasks. • Innovate in multi-view fusion, motion handling, and spatial representation learning. • Deliver models that run on real vehicles and integrate into production systems. All you need is: • 4+ years of hands-on experience in Machine Learning and Deep Learning. • M.Sc. in a relevant field (Machine Learning / Computer Vision / Robotics / similar). • B.Sc. from a leading university. • 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. Nice to have: • 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!