job_description.job_card.job_descriptionDevelop Learning based planning algorithms for trajectories (deep learning, reinforcement learning, decision trees, etc) to ensuring that the vehicle behavior is natural, safe and smoothDesign policies and plans to manage multi-actor interactions and plans under uncertaintyWork with other internal autonomy teams to help to continuously improve and refine the self-driving systemMaster or Ph.D. degree in Computer Science, Electric Engineering or a related fieldExperience solving problems using Machine Learning with Tensorflow or equivalent toolsProfessional C++ experience designing any-angle robotic navigation algorithms such as Dijkstra, ARRT, RRTand RRGExperience in at least one of : robotics research in motion planning, trajectory optimization, planning under uncertainty, probabilistic robotics, data analysis at scale, machine learning at scalePublications in top conferences / journals in a related field or equivalent experiences is a plus