泊车感知模型算法工程师_XC
Bosch · Shanghai, Shanghai, China
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- Full time
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Requirements, each with its sentence from the posting
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Company Description
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.
Job Description
- 参与泊车感知模型的设计、开发与优化,基于深度学习框架构建高效、准确的感知模型,实现对车辆周围环境(包括车位、障碍物、行人等)的精确识别与定位;
- 负责数据处理与分析,收集、标注泊车相关数据,对数据进行预处理和增强以提高模型训练效果,深入分析模型性能指标,根据实际情况优化模型结构和训练策略;
- 跟踪前沿技术,研究并引入新的算法和技术,提升泊车感知模型的性能和竞争力,参与团队技术交流和分享,推动团队整体技术水平提升;
- 负责解决模型开发和部署过程中的技术问题,对模型进行持续的维护和升级,确保模型在实际场景的稳定性;
Qualifications
- 应用数学、计算机视觉、模式识别、机器学习、电子信息、机器人等相关专业的硕士/博士学生。
- 熟悉当前主流的深度学习算法,精通一个或者多个领域的算法研究,包括但不限于目标检测、多任务学习、目标分割等。
- 了解数据结构、算法和大规模数据处理(百万~千万);至少精通C/C++ 或python编程,有ACM经验者优先。
- 有自动驾驶感知/融合/预测等模块算法研发经验者优先。
- 有实际工程项目经验者优先。
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