研发面向自动驾驶、以数据为中心的算法，重点包括多模态数据（camera, lidar, radar）上的 auto annotation、auto tagging、data mining 和 auto quality check。
利用 Foundation Models、VLM、few-shot learning 和 zero-shot learning 来开发和优化数据自动化流水线，以提高效率和可扩展性。
实施 active learning 策略，进行智能数据选择和标注优先级排序。
与感知、预测和规划团队协作，理解数据需求并提供可扩展的数据解决方案。
与全球博世团队合作，进行技术转移、趋势追踪和方案评估。
Research and development of data-centric algorithms for autonomous driving, focusing on auto annotation, auto tagging, data mining, and auto quality check across multi-modal data (camera, lidar, radar).
Develop and optimize data automation pipelines leveraging Foundation Models, VLM, few-shot learning, and zero-shot learning to improve efficiency and scalability.
Implement active learning strategies for intelligent data selection and annotation prioritization.
Collaborate with perception, prediction, and planning teams to understand data requirements and deliver scalable data solutions.
Work with global Bosch units on technology transfer, trend scouting, and concept evaluation.
Hunt on autopilot
New 智能驾驶数据科学家_CR jobs in Shanghai, in your inbox.
The boar re-runs this search every day and emails you what’s new — scraped straight from company career sites, no recruiter spam. Free.