Hybrid Reinforcement Learning Algorithm Researcher – CTO Team

at Mobileye

• Job title: Reinforcement Learning Algorithm Researcher – CTO Team
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: Python
• Location requirements: Hybrid, Ramat Gan, Israel

About the role

• Deep Learning Algorithm Researcher with focus on Reinforcement Learning at Mobileye. Developing algorithms for interactive driving scenarios and shaping the future of autonomous driving technologies.

Responsibilities

• Develop and optimize Reinforcement Learning-based planning algorithms, including network architectures, reward design, and training processes.
• Apply RL to complex, interactive driving scenarios, complementing classical planning where deterministic approaches fall short.
• Work with large-scale simulation environments to enable learning through interaction and diverse policy behaviors.
• Prototype algorithms in Python and migrate performance-critical components to efficient C++ / GPU-accelerated implementations.
• Take part in fast, iterative development cycles, collaborating closely with the CTO and the team to validate ideas and demonstrate working solutions.

Requirements

• M.Sc. in Computer Science, Electrical Engineering, or a related field (Ph.D. - advantage).
• 3+ years of hands-on industry experience in deep learning, with a strong background in designing and training neural networks.
• Experience with Reinforcement Learning (academic coursework, research, or practical application) - strong advantage.
• Strong programming skills in Python.
• Experience with C++ and/or CUDA or other performance-oriented programming - advantage.
• Proven ability to tackle complex, open-ended problems and work effectively in iterative, research-driven environments.