MOTION PLANNING RESEARCH INTERN- REINFORCEMENT LEARNING

Motional's Autonomous Mobility team is focused on developing, and commercializing autonomous vehicles and systems that enable point-to-point mobility via large fleets of autonomous vehicles in challenging urban driving environments. With talented teams working across the globe, from Boston to Singapore, Motional was the first company to deploy a commercial, point-to-point autonomous ride-hailing service in Las Vegas, Nevada. With continued research, development, and both current and future commercial deployments, we are looking for talented and passionate people to join our team.

Work with leading engineers, research scientists, marketers and business development experts, all while enabling the future of mobility. At Motional, we believe that our mobility solutions have the power to change the world.

In this position, you will work on a prototype of Reinforcement Learning motion planning solution integrated into the nuPlan framework. You will extend the current training and evaluation capabilities in nuPlan into RL and IRL planning solutions as well as develop a prototype to validate your implementation.

HOW YOU'LL MAKE A DIFFERENCE:

• Perform prototyping of cutting edge research and deploy the solutions on an autonomous vehicle - support a project development from start to finish
• Create prototype of RL/IRL-based motion planner in nuPlan
• Contribute to core deep learning codebase for efficient training and testing pipelines
• You will focus your research in Machine Learning based Motion Planning technique
• Analyze and compare different combinations of different algorithms.
• Tackle the challenge of autonomous drive through innovative software stacks that interface with all components of the automated driving vehicles

WHAT YOU'LL BRING:

• Master's degree or PhD in Computer Engineering/Science, Robotics or other relevant fields
• Experience in Reinforcement Learning or Inverse Reinforcement Learning
• Experience designing, training, analyzing, and deploying neural networks for at least one of the following applications: Motion Planning, Motion prediction, Behavioral prediction.
• Knowledge of Motion Planning for Mobile Robots
• Experience in Python

Motional has been revolutionizing driverless technology for decades. Our DNA — a joint venture between automotive technology expert Aptiv and vehicle manufacturing leader Hyundai Motor Group — uniquely positions us to fundamentally change the way the world moves. Do you want to be part of shaping the future of mobility?