Mobileye

Machine Learning Software Engineer

Posted 3 Days Ago

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Ramat Gan, ISR

Hybrid

Entry level

Automotive • Automation

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

The Role

Develops robust, scalable production deployment systems and inference pipelines for classical and machine learning algorithms. The role bridges machine learning research and production engineering, primarily using Python, Docker, Kubernetes, model serving frameworks, and inference optimization techniques. Responsibilities include maintaining existing deployment systems, building new production capabilities, and adopting emerging MLOps technologies for computer vision and NLP workloads.

Summary Generated by Built In

Mobileye is looking for a Machine Learning Software Engineer, who will be challenged by bridging the gap between cutting-edge machine learning research and robust production deployment.

In this position, you will combine software engineering expertise with machine learning deployment knowledge, responsible for taking our algorithms and developing robust production solutions that serve them at scale.

The work at Mobileye’s algorithms department is fast-paced and requires staying ahead of the curve with the latest engineering solutions and best practices adopted across the ML community, while staying informed about emerging solutions in both computer vision and NLP domains and understanding the specific problems they address.

What will your job look like:

Your role will include developing production deployment systems for classical and machine learning algorithms from research and building robust, scalable inference pipelines.
You will develop primarily in Python and infrastructure tools (Kubernetes, Docker, etc.), taking part in both maintaining existing deployment systems and developing new production capabilities.
Finally, you will need to learn and implement new deployment technologies and best practices that can address emerging production challenges as they arise, while staying current with the latest MLOps and inference optimization techniques.

All you need is:

B.Sc. in Computer Science, Software Engineering, or related technical field.
Strong problem-solving skills and ability to tackle complex, real-world production challenges.
Proficiency in Python and experience with containerization and orchestration technologies (Docker, Kubernetes)- advantage.
Hands-on experience with model serving frameworks and inference optimization- advantage.
Background in distributed systems- advantage.

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

Bachelor of Science degree in Computer Science, Software Engineering, or a related technical field
Strong problem-solving skills and ability to address complex real-world production challenges
Proficiency in Python
Experience with Docker and Kubernetes
Hands-on experience with model serving frameworks and inference optimization
Background in distributed systems

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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.