自动驾驶VLA研究员_CR
Core
Researching and building end-to-end Visual-Language-Action (VLA) large models for autonomous driving to unify perception, cognition, and decision-making in complex traffic environments.
Role type
Senior Research Scientist (Autonomous Driving VLA)
Builds
Autonomous driving agents with high generalization and safety capabilities via world models and generative AI.
Domain
Autonomous Driving / Generative AI / Multimodal Learning
Deliverable
production ML models
Required skills
PhD in Computer Science/AI/Robotics, Python, PyTorch, Imitation Learning, Reinforcement Learning, VLA model development, Multimodal understanding, Behavior generation
Preferred skills
Publications in CVPR/NeurIPS/ICLR/ICML, Overseas experience
Technologies
PyTorch, VLA models, World Models, Generative AI
Responsibilities
Explore end-to-end learning paradigms for unified perception-cognition-decision, build multimodal data generation and strategy learning systems, validate systems through large-scale training and rapid iteration.
Seniority
Senior, hands-on IC