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Machine Learning Engineer, Planning and Control

Fremont, California
Job Type
14 Jul 2022
  • 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
  • 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
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  • Job Reference: 658157445-2
  • Date Posted: 14 July 2022
  • Recruiter:
  • Location: Fremont, California
  • Salary: On Application
  • Sector: Manufacturing Operations
  • Job Type: Permanent