Reinforcement Learning Researcher (CTO Team)
Ramat Gan, Israel
R&D – Algorithms /
Full time /
Hybrid
Mobileye is looking for an experienced Deep Learning Algorithm Researcher with a strong focus on Reinforcement Learning to join the CTO Group.
Mobileye’s CTO Group is a small, elite research and development group responsible for shaping the next generation of algorithmic solutions powering Mobileye’s autonomous driving systems, crowd-sourced HD maps, and advanced driver-assistance technologies.
The role focuses on building a learning-based planning system that has never been deployed at this scale before, leveraging Reinforcement Learning to address complex, interactive driving scenarios. You will work on policy decision making that provides a holistic, system-level view of autonomous behavior, while tackling a deeply challenging technological problem- taking ideas from research to real vehicles, developing algorithms, retraining models, validating results, and seeing the impact on the road within short development cycles.
This is a unique opportunity to take part in early-stage, high-impact projects, develop proof-of-concepts using cutting-edge technologies, and influence Mobileye’s long-term technological direction.
What will your job look like:
- 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.
All you need is:
- 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.
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.
