感知语义方向模型与算法工程师（J92522）
Core
Develop and deploy end-to-end large models for perception and semantic understanding in autonomous driving scenarios, including traffic light/sign recognition, 2D/3D object detection, and scene understanding.
Role type
Senior IC machine learning engineer (perception/semantic understanding)
Builds
Perception and semantic models for autonomous driving systems
Domain
Autonomous driving / Computer vision / Robotics
Deliverable
production ML models
Required skills
C++, Python, Linux development, deep learning (3D convolution, sparse convolution, transformers), mathematical analysis
Preferred skills
LLM/VLM/VLA training experience, publications in top venues (CVPR, ICCV, ICRA, IROS, PAMI)
Responsibilities
Research and develop model algorithms for traffic light/sign recognition, 2D/3D detection, and scene semantics; propose data requirements and build automated data pipelines; collaborate on full autonomous perception model development.
