Reinforcement Learning Researcher | Learned-Policy Group
Description
Researcher in Reinforcement Learning in the Learned-Policy group at Mobileye, developing advanced driving planning algorithms for complex real-world scenarios. You will work on Policy model design, Reward functions and training methods, build comprehensive evaluation systems for driving safety and comfort, and translate research from simulation to real-world vehicles. Required: M.Sc or Ph.D in Computer Science or Electrical Engineering, 3+ years of industrial experience with in-depth deep learning and practical experience in Reinforcement Learning, with experience in autonomous driving or motion planning being a significant advantage. Location: Jerusalem · Full-time · Department: R&D To apply: On the company website, via the button below
Details
Company
mobileye
Location
Jerusalem
Reinforcement Learning Researcher | Learned-Policy Group
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