Reinforcement Learning Researcher | Learned-Policy Group

This role involves developing reinforcement-learning driving planners for complex, interactive road scenarios, transitioning them from simulation to real vehicles. The researcher will create policy models, rewards, and training methods while defining evaluation metrics for driving behavior. The position offers direct influence on Mobileye's core driving technology and future products within a collaborative R&D team.