Tech Stack

Description

You will apply advanced machine learning techniques to improve autonomous driving systems, working on trajectory prediction, motion planning, and sequential decision making. Your research will be deployed in real-world vehicles, solving practical challenges like out-of-distribution detection and model robustness.

Requirements

• M.Sc. or Ph.D. in Computer Science, AI, Mathematics, or related field
• Expertise in sequential decision making, imitation learning, deep RL, or generative modeling
• Strong programming skills in Python (required) and C++ (beneficial)
• Research publications in top conferences (e.g., NeurIPS, ICLR, ICML)
• Excellent problem solving and team collaboration skills

Responsibilities

• Develop machine learning based planning and prediction systems for autonomous driving
• Research generative sequence modeling and sequential decision making
• Mitigate uncertainties in interconnected autonomy components
• Collaborate across autonomy teams to solve top challenges
• Deploy practical solutions on real-world vehicles