Tech Stack

Description

Conduct research on machine learning for prediction and planning in autonomous driving, working with large-scale datasets and collaborating with teams to deploy your results. You will be part of the team behind nuScenes and PointPillars, publishing findings in top conferences.

Requirements

• Enrolled in a Masters or PhD program in Computer Science, Electrical Engineering, Robotics or similar technical field
• Strong ML research background with publications in top-tier conferences (RSS, ICRA, CoRL, CVPR, ICRL, ICML, NeurIPS, etc.)
• Proficiency in Python coding and PyTorch or other deep learning frameworks
• One-team mindset and effective collaboration
• Previous experience in autonomous driving is preferred

Responsibilities

• Conduct research on driving behavior topics such as future prediction, motion planning, agent simulation, and scenario generation
• Work with large-scale internal datasets to demonstrate research effectiveness
• Collaborate with different teams to deploy research results into autonomous vehicles
• Publish research results in papers and patents