Mobileye

Senior Algorithm Engineer-ML Inference and Data Systems

Posted 14 Days Ago

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Ramat Gan, ISR

Hybrid

Senior level

Automotive • Automation

Mobileye is leading the mobility revolution with its autonomous-driving and driver-assist technologies.

The Role

Lead design and development of scalable ML inference and large-scale data processing systems. Optimize inference algorithms and pipelines, build high-throughput streaming and preprocessing components, improve distributed system performance and reliability, and drive architecture with ML researchers and infrastructure teams for production workloads.

Summary Generated by Built In

We are looking for a Senior Algorithm Engineer to lead the design and development of large scale ML inference and data processing systems in production. In this role, you will work at the intersection of algorithms, data systems, and machine learning infrastructure, building scalable and efficient solutions that support high throughput model inference and large scale data processing. The position involves close collaboration with ML researchers and infrastructure teams to design robust systems that power production ML workloads.

What will your job look like:

Design and optimize algorithms and pipelines for large scale model inference.
Build scalable systems for high throughput data processing and streaming.
Develop data transformation and preprocessing components for ML workloads.
Improve performance, efficiency, and reliability across distributed inference systems.
Work closely with ML researchers, infrastructure, and platform teams.
Drive architectural decisions for production ML and data systems.

All you need is:

5+ years of experience in Algorithm Engineering, ML Infrastructure, or Data Systems.
Strong programming skills in Python.
Hands on experience with Spark, Polars, Pandas, DuckDB, and AWS.
Strong understanding of distributed systems, scalability, and performance optimization.
Experience building or supporting ML inference pipelines in production.
Strong system design and architecture skills.

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!

Skills Required

5+ years of experience in Algorithm Engineering, ML Infrastructure, or Data Systems
Strong programming skills in Python
Hands on experience with Spark, Polars, Pandas, DuckDB, and AWS
Strong understanding of distributed systems, scalability, and performance optimization
Experience building or supporting ML inference pipelines in production
Strong system design and architecture skills

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The Company

HQ: Jerusalem

3,700 Employees

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.