Senior 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.
Why us?
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!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.