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Open nowPosted 106 days ago

27届校招-自动驾驶数据挖掘师

kargobot/26706931 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now27届校招-自动驾驶数据挖掘师kargobot/267069 · Beijing, Chinese Mainland

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The clock on this job

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11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: posted 106 days ago

The posting

欢迎加入自动驾驶卡车KargoBot团队，解决自动驾驶系统这一项复杂的人工智能方向问题。您将构建自动驾驶卡车的“大脑”，持续提供高质量的代码和算法推进公司项目正常落地。

您将加入数据科学团队参与卡车自动驾驶的数据相关工作，你将参与： 1.负责自动驾驶数据标注提效，开发相关工具，支持自动/半自动打标流程； 2.负责数据标签管理，对数据进行多维度分类、自动打签处理等操作，为场景库结构化管理提供有价值的分类管理方式； 3.负责数据指标分析，对数据进行统计、可视化展示、分析数据中的异动趋势； 4.负责数据挖掘策略开发，运用统计分析、数据挖掘技术，对自动驾驶场景中潜在异常点/趋势进行深入探索； 5.负责关键场景进行有效抽象化描述，提炼核心特征，协助设计和实施场景增强/泛化策略； 6.与算法、仿真、QA团队合作，协调和解决版本评测过程中的数据问题。

作为由滴滴自动驾驶公司孵化的公司，KargoBot专注L4级别干线货运的无人驾驶技术研发和商业化运营，创新性地提出了混合无人化解决方案，由一名司机驾驶的领航车辆，引领多辆L4级自动驾驶卡车行驶。

欢迎“梦想驱动”、“追求极致”的你加入，相信未来出行将因你我而改变！一起去创造和实现自动驾驶卡车KargoBot的纪录与未来！

1.全日制本科及以上学历，计算机科学与技术、自动化、应用数学等理工科相关专业； 2.熟练掌握数据处理和分析工具，熟悉Python、C++、MySQL等，有较好的算法思维及代码习惯； 3.了解自动驾驶基本组成（感知、定位、规划、控制）、核心传感器原理及自动驾驶数据特点（了解ROS2/ROS或仿真工具如CARLA等为加分项）； 3.具备数据驱动能力，工作认真仔细，数据交付质量可靠，具有较强的责任心及学习能力； 4.具备良好的沟通和协调能力，能够与其他部门进行高效的沟通协作。

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