Machine Learning Engineer, Planning, Prediction and Control

Job Description

Develop Learning based planning algorithms for trajectories (deep learning, reinforcement learning, decision trees, etc) to ensuring 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 to continuously improve and refine the self-driving system

Requirements

Master or Ph.D. degree in Computer Science, Electric 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: robotics research in motion planning, trajectory optimization, planning under uncertainty, probabilistic robotics, data analysis at scale, machine learning at scale

Publications in top conferences/journals in a related field or equivalent experiences is a plus

Full-time