ML Research Scientist, Prediction & Smart Agents
Core
Building state-of-the-art machine learning models to predict the behavior of surrounding traffic and other agents for autonomous driving systems.
Role type
Senior IC ML Research Scientist (Prediction & Smart Agents)
Builds
Scalable prediction systems and smart, controllable agents for onboard deployment and closed-loop simulation.
Domain
Autonomous driving / Physical AI
Deliverable
production ML models
Required skills
Generative sequence modeling, sequential decision-making, Transformer-based architectures, large generative models, diffusion models, Reinforcement Learning, Python, C++, PyTorch
Preferred skills
Embodied AI for robotics, Causal reasoning, Model interpretability, Joint prediction and planning
Technologies
PyTorch, C++, Python
Responsibilities
Design and build scalable ML-based prediction systems for multi-modal trajectories; Conduct research in generative sequence modeling and sequential decision-making; Collaborate with Planning teams to design controllable agents for RL training; Mitigate uncertainties across autonomy components; Derive practical solutions for deployment on real-world vehicles.
Seniority
Senior, hands-on IC