We are looking for an ML Data Engineer to own the engineering foundations behind its development and training. At petabyte scale and hundreds of thousands of daily jobs, you will build pipelines and tools that process images, video, geometric information, and model outputs. Working alongside deep-learning researchers, you will eliminate resource-intensive bottlenecks and reduce computation costs and iteration time.
What will your job look like?
- Optimize distributed data and evaluation pipelines for memory efficiency, throughput, and training performance.
- Build tools for data exploration, manipulation, validation, and quality assessment.
- Own model manipulation, packaging, distribution workflows, and interfaces with downstream deployment and EyeQ integration.
- Coordinate data contracts and workflows with researchers, infrastructure and data teams, and internal customers across Mobileye.
All you need is:
- Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related field from a leading university.
- 4+ years of hands-on software or data-engineering experience.
- Excellent Python and Linux skills with strong software-engineering foundations.
- Strong experience with SQL, Spark, and PyArrow.
- Experience optimizing distributed pipelines or compute-intensive systems for memory use and parallel execution.
- Familiarity with PyTorch and ML workflows, including datasets, training, checkpoints, evaluation, and GPU computation.
- Strong ownership, independent problem-solving, and cross-team collaboration skills.
- Master's degree in a relevant field.
- Experience in computer vision or autonomous-driving systems.
- Familiarity with model deployment, hardware-aware ML, or specialized AI accelerators.
Skills Required
- Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or related field
- 4+ years of hands-on software or data-engineering experience
- Excellent Python skills
- Strong Linux skills
- Strong experience with SQL
- Strong experience with Spark
- Strong experience with PyArrow
- Experience optimizing distributed pipelines or compute-intensive systems for memory and parallel execution
- Familiarity with PyTorch and ML workflows including datasets, training, checkpoints, evaluation, and GPU computation
- Strong ownership, independent problem-solving, and cross-team collaboration skills
- Master's degree in a relevant field
- Experience in computer vision or autonomous-driving systems
- Familiarity with model deployment, hardware-aware ML, or specialized AI accelerators
What We Do
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.
Why Work With Us
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.
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