Machine Learning Engineer jobs in Haifa

Mobileye is the world leader in automotive and driving assistance systems, developing the world's most advanced software technologies and hardware architectures. Mobileye is providing an end-to-end software solution for development and deploying features on its HW chip - EyeQ. The compilers team is looking for a C++ Software engineer with a passion for low level optimizations and code analysis. What will your job look like? • Develop and extend a compiler based on the LLVM infrastructure to support and optimize Mobileye's EyeQ hardware. • Implement and improve middle‑end and back‑end compiler optimizations. • Analyze generated code to improve performance and efficiency. • Perform real-world benchmark analysis to find optimization opportunities. • Collaborate with chip architects on defining and supporting future hardware generations. All you need is: • B.Sc. in Computer Science, Computer Engineering, or a related field - Must. • 3+ experience in C/C++ and Python - Must. • Fluent English communication skills, both written and spoken. • Experience with low‑level, firmware, or embedded software development and debugging. • Familiarity with compiler technologies, particularly LLVM or MLIR. • Experience analyzing benchmarks and performance data. 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 the world leader in automotive and driving assistance systems, developing the world's most advanced software technologies and hardware architectures. Our team in Haifa develops cutting-edge technologies to deploy deep learning and computer vision algorithms efficiently on the Mobileye platform. Our work contributes to saving lives and advancing the capabilities of autonomous vehicles. Check out our technology in action: https://www.youtube.com/watch?v=50NPqEla0CQ We are looking for a deep learning software engineer to join the Mobileye Autonomous Driving software group in Haifa, focusing on Deep Learning optimizations. This role offers an exciting opportunity to collaborate with highly talented engineers, contribute to an innovative product, and work with cutting-edge AI technologies. What will your job look like: • Develop a software product that optimizes deep learning networks. The optimizations include learnable techniques such as quantization, pruning and compression. This software product is the initial stage of the deep learning inference flow and is essential for enabling Mobileye’s deep learning networks to operate efficiently on low-power hardware within vehicles. • Development is mostly in Python programming language, using deep learning frameworks such as Pytorch. • Collaborate closely with Mobileye’s algorithm teams to ensure the fast and accurate deployment of their state-of-the-art models. • The work encompasses the entire software development cycle, including code implementation, unit testing, CI/CD processes, and more. • Literature research and POC implementation of new optimization algorithms. • Your work will position you at the forefront of machine learning optimizations. All you need is: • BSc/MSc in Computer Science/ Electrical Engineering with computer science chain. • 5+ years experience in Neural Networks/Deep Learning. • Hands-on experience with PyTorch and deep learning frameworks. • Strong Python programming skills and experience developing production-grade software. • Knowledge of C/C++ and experience with containerized environments – an advantage. • Experience in CI/CD pipelines and containerized environments.

Job Description Summary The Staff Machine Learning Engineer is a senior technical leader responsible for designing, developing, and deploying production-grade AI systems for GE Healthcare medical imaging products. This role focuses on vision-language models, diffusion models, and multimodal learning, working closely with data scientists, software engineers, product leaders, and clinical experts to turn advanced AI methods into robust product capabilities. Job Description The Staff Machine Learning Engineer is a senior technical leader responsible for designing, developing, and deploying production-grade AI systems for GE HealthCare medical imaging products. This role focuses on vision-language models, diffusion models, and multimodal learning, working closely with data scientists, software engineers, product leaders, and clinical experts to turn advanced AI methods into robust product capabilities. Key Responsibilities • Design, implement, and productionize AI models for clinical applications, including vision and diffusion models. • Own end-to-end model lifecycle: data ingestion, training, evaluation, deployment, monitoring, and iteration. • Work with large-scale medical datasets, ensuring data quality, preprocessing, and efficient pipeline management. • Drive technical decisions and tradeoffs with a focus on scalability, maintainability, and real-world constraints. • Collaborate with clinical AI scientists to translate research innovations into production-ready solutions. • Stay current with advancements in vision-language modeling, GenAI, and related AI technologies. • Qualifications • Master’s or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or related field. • Significant hands-on experience building and deploying ML systems to production. • Strong experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow). • Solid understanding of deep learning, computer vision, and natural language processing techniques. • Prior experience working with medical imaging data is highly preferred. • Solid software engineering fundamentals, including testing, version control, CI/CD, and code reviews. • Independent, self-learner, and results-oriented. • Fluent English (speaking and writing). GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. #LI-TM1 Additional Information The job is open to men and women equally Relocation Assistance Provided: No