自动驾驶端到端研究员(RAI)_CR
Core
Design next-generation end-to-end learning architectures for autonomous driving, enabling direct mapping from environment understanding to behavior generation to achieve human-level driving capabilities.
Role type
Senior Research Scientist (End-to-End Autonomous Driving)
Builds
Production-scale autonomous driving models and closed-loop learning systems from simulation to real-world roads.
Domain
Autonomous Driving / Deep Learning / Reinforcement Learning
Deliverable
production ML models
Required skills
End-to-end model architecture design, Imitation Learning, Reinforcement Learning, Diffusion models, Self-regressive models, Large-scale data-driven modeling, Simulation-to-real transfer, System optimization
Preferred skills
Experience with CVPR/NeurIPS/ICLR/ICML publications, Overseas research experience
Technologies
Python, PyTorch
Responsibilities
Design end-to-end learning architectures, Develop data generation and model training pipelines, Conduct system validation and performance optimization
Seniority
Senior, PhD-level Researcher