Deep Learning Researcher

About the Position

Stay safe from recruitment fraud! The only way to apply for a position at Mobileye is via our jobs page. Mobileye will never ask an applicant to send any money or purchase any equipment. Not sure? Contact us at: [email protected]

Join our pioneering team in Ramat Gan as a Deep Learning Researcher!

About Us

Mobileye is a global leader in Physical AI, developing computer vision, software, and hardware to power autonomous driving solutions and humanoid robots. Our mission is to bring autonomy into the real world by building intelligent technologies that are designed to expand accessibility and enhance everyday life, from advanced driver assistance systems (ADAS) and autonomous driving to robotics and humanoids.

Built on decades of automotive innovation and industrial-scale AI expertise, Mobileye technologies power more than 230 million vehicles worldwide. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for the real world.

About the Team

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.

Responsibilities

• Design and train cutting-edge deep learning models tailored for our custom EyeQ chip.
• Work on end-to-end challenges and deploy real-world solutions.
• Collaborate with software and hardware teams to turn research into production-ready systems.
• Develop novel architectures and advanced training techniques.
• Optimize models for hardware-aware performance.

Requirements

• 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 deep learning 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.
• Industry experience in deep learning 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.

We Offer

• Be part of a pioneering team at the forefront of autonomous driving and AI.
• Work on cutting-edge technologies that power more than 230 million vehicles worldwide.
• Collaborate with top-tier researchers and developers.
• Competitive salary and benefits.
• Opportunity to shape the future of mobility and autonomous systems.

About the Company

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 lead the revolution!

Apply now and save lives!

The value of life above all other considerations.

Evolution as revolution

Creating the autonomous future, leap by leap.

Now. Next. Future.

Pioneering the future without losing sight of today and tomorrow.

Geek Proud

Our technology & problem-solving tackles the toughest challenges facing the industry.

Live the Dream. Stay Humble.

We are coding a new reality. We are also understated, and work as a team.

Outside the Bounding Box

Solutions often seem unlikely or impossible. Until they aren’t.

Never Too Small

Each person’s individual contribution can make an outsized impact.