Machine Learning: Prediction and Planning

Machine Learning: Prediction and Planning - Honda Research Institute USA Machine Learning: Prediction and Planning Job Number: P24INT-30 This project focuses on generative models for cooperative mobility. You will explore machine learning methods for traffic agent behavior prediction. The project involves research and development of state of the art interaction methods using current advancement in generative models. Mountain View, CA Key Responsibilities Develop a low-latency and high-performance prediction module, integrate, deploy, and test it within simulation. Modeling Behavior Dynamics for predicting social agents Build Interaction modeling framework to understand and predict interactions between autonomous agents Minimum Qualifications Research experience in prediction, planning, machine learning, and robotics Excellent programming skills in Python and C++ Bonus Qualifications Ph.D. candidate in robotics, computer science, electrical engineering, or related field Publication record of planning or prediction on robotic systems (e.g. ICML, NeurIPS, CoRL, RSS, CVPR, ICRA, IROS, etc. ) Experience with motion transformer models, diffusion models, UniTraj, MetaDrive, etc. Years of Work Experience Required 0 Desired Start Date 8/25/2025 Internship Duration 3 Months Position Keywords Generative Models, Motion Prediction and Planning, Simulations Alternate Way to Apply Send an e-mail to with the following: - Subject line including the job number(s) you are applying for - Recent CV - A cover letter highlighting relevant background (Optional) Please, do not contact our office to inquiry about your application status. #J-18808-Ljbffr