Hybrid Senior Deep Learning Researcher

at Mobileye

• Job title: Senior Deep Learning Researcher
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: Python, PyTorch, Tensorflow
• Location requirements: Hybrid, Ramat Gan, Israel

About the role

• Build neural networks for autonomous vehicle technology at Mobileye, focusing on deep learning model design and deployment. Collaborate with teams to ensure high-impact research solutions.

Responsibilities

• 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.

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 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.

Benefits

• 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.