Data Mining Engineer

该职位来源于猎聘 Responsibilities and duties

• ADAS长尾场景挖掘，面向L2/L2+ 路测数据设计并实现场景挖掘pipeline，自动识别低频、高风险、高信息量，重点覆盖AEB相关场景。ADAS corner case scenario mining, design and develop data mining pipeline based on L2/L2+ road test data, aim to identify low frequent, high risk and high information density, especially AEB scenarios.
• 多传感器数据处理能力，负责激光雷达、摄像头、毫米波雷达等多源数据的处理，例如抽帧、时间对齐、数据清洗、动态补偿等。 Multi-sensor data processing capability, responsible for Lidar, camera, radar data processing, such as extraction, time synchronization, data sanitization, dynamic compensation etc.
• 大数据处理能力，基于常见的第三方工具构建TB级的数据挖掘pipeline，保证效率、可扩展性。 Massive data processing capability, develop TB level data mining pipeline that based on 3rd party toolchain, ensure the efficiency and extendibility.
• 支持团队管理ADAS数据和构建ADAS场景库。Support to manage ADAS data and build ADAS scenes libraries Basic qualifications
• Bachelor and the above for education
• 3+ years data minging and machine learning experience
• 1 year ADAS data mining experience
• Good at python or C++ programing language, SQL.
• Mathematics, data science major
• Familiar with common data analysis tools and mathematics models Nice to haves (preferred qualifications)

Know about ADAS features

• Matlab, Python, R experience
• Machine learning experience Traits we seek
• Good understanding and/or knowledge of automotive electronics or vehicle will be an advantage;
• Have some knowledge in data science, like regression, classification and clustering;
• Comprehensive technical English reading, writing and clear verbal communication skills are required;
• With team-work spirit, communication skill, task and work planning skill;
• Clear thinking, sense of responsibility, and self-motivated.