Tech Stack

Description

As an ML Research Scientist on the Prediction and Smart Agents team, you will develop state-of-the-art models for predicting traffic behavior used in Nuro's autonomous driving system. You'll conduct cutting-edge research on generative sequence modeling, deploy models on real vehicles, and collaborate with planning teams to build controllable agents for simulation.

Requirements

• M.Sc. or Ph.D. in CS, AI, Mathematics or related field
• Expertise in sequential decision-making, prediction, imitation/reinforcement learning, generative modeling, or ML for robotics
• Strong programming skills in Python and ML frameworks like PyTorch
• 2+ years deploying ML systems onboard, ideally in prediction
• Publications in top conferences (NeurIPS, ICLR, ICML, etc.)

Responsibilities

• Design and build scalable ML-based prediction systems for multi-modal trajectory generation
• Conduct research in generative sequence modeling and sequential decision-making
• Collaborate with Planning team to design realistic and controllable agents for closed-loop simulation
• Mitigate accumulated uncertainties across autonomy components
• Derive practical, deployable solutions and see them deployed on real-world vehicles