北京-自动驾驶视觉语言模型算法工程师(J100721)
Core
Research and develop end-to-end VLM/VLA models with driving logic reasoning capabilities for autonomous driving, optimizing large model structures and migrating cloud capabilities to vehicle edge computing.
Role type
Senior IC machine-learning engineer (autonomous driving, VLM/VLA)
Builds
End-to-end driving models, automated data mining and annotation pipelines, SOTA algorithm implementations
Domain
Autonomous driving, multimodal learning, large language models
Deliverable
production ML models
Required skills
PyTorch, VLM/LLM fine-tuning, model training, code implementation, SOTA algorithm reproduction, knowledge distillation, evaluation system design
Preferred skills
Top-tier conference publications, world model implementation, reinforcement learning practice, Kaggle/ACM competition experience
Technologies
PyTorch, VLM, LLM, VLA
