Reinforcement Learning Researcher | Learned-Policy Group

Build the intelligence behind the next driving decision. We’re building a reinforcement-learning driving planner for complex, interactive road scenarios. We’re looking for a researcher to help take it from simulation to real vehicles. You’ll develop policy models, rewards, and training methods. You’ll define how driving behavior is evaluated, analyze failures in closed loop, and validate improvements on the road. You’ll work in a small team at Mobileye and collaborate with control and other algorithm teams. This is a high-impact role with direct influence on a core part of Mobileye’s driving technology and its future products.