ML Research Scientist, Prediction & Smart Agents

Develop advanced prediction models and smart agents for autonomous vehicles.

• •Build state-of-the-art prediction models and controllable smart agents for autonomous vehicles, deployed onboard and in closed-loop simulation.
• •Key Responsibilities Design scalable ML-based prediction systems producing multi-modal, kinematically feasible trajectories.
• •Conduct research in generative sequence modeling and sequential decision-making.
• •Collaborate with Planning to create controllable agents for closed-loop RL training.
• •Mitigate uncertainties across autonomy components and deploy solutions to real vehicles.
• •Requirements M.Sc. or Ph.D. in CS, AI, Mathematics, or related field.
• •Expertise in sequential decision-making, prediction, imitation learning, or RL.
• •Strong programming in Python; C++ beneficial; experience with PyTorch. 2+ years deploying ML systems onboard and publications in top venues.