Machine Learning Research Scientist, Behavior Planning and Prediction

Lead research on scalable ML-based planning and prediction to generate safe, feasible trajectories for autonomous driving.
Develop self-supervised representations, out-of-distribution detection, and robust models under uncertainty.
Advance sequential decision making, trajectory prediction, and integration with motion planning systems.
Prototype, evaluate, and deploy practical solutions on real-world vehicles in collaboration with software teams.
Explore interpretability, causal reasoning, and joint prediction and planning to improve reliability.
Translate research into deployed systems with a focus on impact, reproducibility, and scalable experimentation.