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Open nowPosted 1046 days ago

自动标注算法工程师

qcraft/index22 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now自动标注算法工程师qcraft/index · Beijing, Chinese Mainland

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  2. CV RocketCV written for this posting.

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

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The clock on this job

Early applications get read.

12.3% 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. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 1046 days ago

The posting

1. 设计与开发感知泊车或行车任务的自动化与半自动化标注算法，包括但不限于视觉与点云的检测与分割等 2. 负责设计与开发数据挖掘和难例样本分析等工具链，通过数据闭环来增强感知模型性能 3. 负责自动驾驶的路测数据处理流程与标注，保障验收数据质量，包括但不限于标注数据质检工具开发，数据验证规则和标准制定

1. 具有APA车位检测，HPP记忆泊车，道路几何，动态障碍物等相关量产经验者优先，熟悉2D3D投影转换与优化 2. 计算机、人工智能相关专业的硕士/博士，并具备良好的英文文献检索和阅读能力 3. 具有扎实的数学基础，熟悉主流深度学习算法，熟悉一、多个视觉相关领域，包括但不限于图像/点云的检测与分割等 4. 深入了解数据结构、算法设计、代码优化和大规模数据处理等相关知识 5. 熟悉pytorch框架，熟悉opencv，以及Linux/Git等工具，并精通 C/C++以及Python编程，有ACM经验者优先 6. 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 7. 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 加分项： 1. 有泊车量产经验者优先 2. 有计算机视觉领域顶会(CVPR/ICCV/ECCV/ICML/NIPS)或顶刊(TPAMI/IJCV/TIP)等作品 3. COCO/ImageNet/KITTI/nuScenes等主流benchmark上取得优异成绩或实际工程项目经验 4. 开源项目贡献者

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