Mobileye

Senior Deep Learning Researcher

Reposted 3 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

Design and train large-scale, multi-task deep neural networks for autonomous driving, optimize models for the EyeQ chip, develop end-to-end DL pipelines, collaborate with software and hardware teams, and deploy production-ready, performance-tuned systems.

Summary Generated by Built In

Mobileye is a pioneering force in the autonomous vehicles (AV) industry.

Join us to build the brain behind the car — a large-scale, multi-task neural network that powers the core of Mobileye’s autonomous stack.

You’ll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions.

From novel architectures and advanced training techniques to performance tuning under tight constraints, you’ll work closely with software and hardware teams to turn research into high-impact, production-ready systems.

If you’re a brilliant, hands-on researcher with a passion for shaping the future — this is your launchpad.

Our team is at the forefront of Mobileye’s most advanced AI efforts. As a central hub for deep learning innovation, we’re trusted with designing the core neural network architecture that powers the company’s flagship products. If you’re seeking a high-impact role among top-tier researchers and developers — this is the place to be.

All you need is:

PhD in Computer Science or a related discipline (exceptional MSc candidates will be considered).
4+ years of hands-on experience developing deep learning algorithms in Python.
Experience building end-to-end DL pipelines: data preparation, training, evaluation, and deployment.
Proficiency in at least one deep learning framework (e.g., TensorFlow, PyTorch).
Excellent problem-solving skills and a research-oriented mindset.

Advantages:

Industry experience in DL or software development.

Familiarity with hardware-aware model optimization.

Experience with cloud platforms (e.g., AWS), Docker, and Linux environments.

Publications or contributions in the fields of deep learning, neural architecture search, knowledge distillation or multi-task 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!

Skills Required

PhD in Computer Science or related discipline (exceptional MSc considered)
4+ years of hands-on experience developing deep learning algorithms in Python
Experience building end-to-end deep learning pipelines: data preparation, training, evaluation, deployment
Proficiency in at least one deep learning framework (TensorFlow or PyTorch)
Excellent problem-solving skills and a research-oriented mindset

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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.