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Open nowPosted 66 days ago

【27届校招】数据算法工程师

qcraft/campus31 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now【27届校招】数据算法工程师qcraft/campus · Beijing, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on qcraft/campus's own form.

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The clock on this job

Early applications get read.

11.5% 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. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 66 days ago

The posting

职位描述 - 参与激光和视觉三维重建相关算法的开发，利用深度学习和图优化技术优化3D重建精度，并支持实际项目应用 - 负责设计与开发离线自动标注技术，利用多传感信息对自动驾驶场景进行自动标注，支撑车端模型能力与效果提升 - 负责设计与开发感知标注数据的大规模挖掘、检索、预处理平台与工具链，持续提升数据迭代效率与质量 - 负责设计与开发数据挖掘和难例样本分析等工具链，通过数据闭环来优化数据分布，增强感知模型性能和训练效率

1. 学历背景：计算机、机器人、自动化、人工智能等相关专业，硕士及以上学历，并具备良好的英文文献检索和阅读能力 2. 技术技能：精通C/C++和Python编程，扎实的数据结构与算法基础，熟练使用Linux、Git等开发工具 3. 理论基础：具备扎实的数学基础，了解非线性优化理论，3D视觉与SLAM理论基础 4. 专业经验：熟悉并有过Visual SLAM或SFM相关项目经验，有NeRF或3DGS等三维重建项目经验优先 5. 深度学习：熟悉主流深度学习算法，有常用图像/点云处理经验者优先，熟悉OpenCV、PyTorch者优先 6. 项目经验：有Auto-labeling相关经验者优先，有大规模数据处理和算法优化经验 7. 软技能：良好开阔的视野，熟悉主流自动驾驶、辅助驾驶的产品方案，熟悉前沿进展，有良好的沟通技能和丰富的理论和实践经验，具有良好的抗压能力，具有强烈的责任心和团队合作精神

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