Deep Learning Researcher

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.