Machine Learning Engineer, Planning, Prediction and Control

DescriptionDevelop Learning based planning algorithms for trajectories (deep learning, reinforcement learning, decision trees, etc) to ensure that the vehicle behavior is natural, safe, and smooth.Design policies and plans to manage multi-actor interactions and plans under uncertainty.Work with other internal autonomy teams to help continuously improve and refine the self-driving system.RequirementsMaster or Ph.D. degree in Computer Science, Electrical Engineering, or a related field.Experience solving problems using Machine Learning with TensorFlow or equivalent tools.Professional C++ experience designing any-angle robotic navigation algorithms such as Dijkstra, A*, D*, RRT, RRT*, and RRG.Experience in at least one of the following: robotics research in motion planning, trajectory optimization, planning under uncertainty, probabilistic robotics, data analysis at scale, or machine learning at scale.Publications in top conferences/journals in a related field or equivalent experiences is a plus.

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