Scientist: Decision Making/Motion Planning

Honda Research Institute USA - Mountain View, CA (30+ days ago)


The position focuses on bringing machine learning techniques to real-world decision making problems. It has a strong emphasis on real problems with real solutions and requires broad knowledge in the areas such as reinforcement learning, deep learning and policy optimization.

Key Responsibilities:
  • Perform research to make machine learning applicable to real world decision making problems.
  • Develop decision making and motion planning algorithms for autonomous vehicles.
  • Participate in software development and prototyping.
  • Contribute to a portfolio of patents and academic publications demonstrate research value.
Minimum Qualifications:
  • PhD/MSc in Computer Science, Electrical Engineering, or related field.
  • Expertise in machine learning.
  • Expertise in decision making under uncertainty.
  • Familiarity with motion planning algorithms.
  • Proven track record in conferences/journals.
  • Strong programming skills in Python or C++.
Preferred Qualifications:
  • Experience in reinforcement learning and/or deep learning.
  • Experience in behavior cloning.
  • Familiarity with probabilistic reasoning in AI.
  • Experience in deep learning frameworks such as Tensorflow.
  • Familiarity with Robot Operating System (ROS).