百度交通数据挖掘工程师(J69943)

WeRide.ai is looking for an Engineering Tech Lead to join our Simulation team and help build the next generation of autonomous driving Simulation Engine, Algorithm and Modeling. What you will do: 1.Oversee WeRide’s Simulation direction, lead and grow algorithm team in this scope 2.Define roadmaps, drive technical projects and provide leadership in an innovative and fast-paced environment. 3.Design, implement and optimize existing and next-generation of Simulation Algorithm and Modeling, including agent (vehicle/pedestrian/cyclist/…) behavior modeling, evaluation modeling and scenario-based data mining. 4.Build tools and automation pipelines to process large-scale real-world traffic data for model training. 5.Work across teams to facilitate safe and fast iteration of the autonomous driving software components: perception, motion planning, control, localization, and other.

1、研发基于VLM/多模态大模型的数据挖掘算法,精准识别自动驾驶长尾场景(如极端天气、复杂交通参与行为、罕见障碍物等)。 2、构建高效的自动化数据挖掘Pipeline,提升数据标签质量并降低标注成本。 3、 结合点云、图像、文本等多模态数据,设计多模态特征,支持数据的跨模态检索

1、研发基于VLM/多模态大模型的数据挖掘算法,精准识别自动驾驶长尾场景(如极端天气、复杂交通参与行为、罕见障碍物等); 2、构建高效的自动化数据挖掘Pipeline,提升数据标签质量并降低标注成本; 3、结合点云、图像、文本等多模态数据,设计多模态特征,支持数据的跨模态检索;