• Research deep learning tasks in the domain of autonomous driving, including but not limited to: detection, tracking, semantic segmentation, 3D vision, video processing, time sequence data processing, etc.

研究深度学习在无人驾驶领域的应用，涉及任务包括但不限于：检测、跟踪、语义分割、3D视觉、视频处理、时序数据处理等；

• Leading deep learning module improvement during productization, including but not limited to: run time optimization, generalization capability improvements, accuracy improvements, etc.

领导深度学习在产品落地过程中的性能提升研究，包括但不限于：模型运行速度优化、泛化能力提升、精度性能提升等；

Location

11th floor Sinohydro Sichuan Building, No. 139 the Second Tianfu Avenue, High-tech Zone of Chengdu

成都高新区天府二街139号水电大厦11楼

Requirements

1. Have basic skills related to machine learning, have intuition and capability to guide the research direction.

机器学习基本功扎实，并有把握研究方向的直觉和能力

2. Have at least 3 years’ experience in deep learning.

有至少3年的深度学习相关经验

3. First author of CCF class A is preferred

CCF A类会议或期刊论文第一作者优先

4. Win international competitions, or have top rank on leaderboard of famous data sets is preferred

在知名国际大赛中获奖，或在重要数据集的leaderboard上排名靠前者优先

5. Familiar with C, C ++, or Python and are able to do programming in Linux.

熟悉C、C++或Python，能在Linux下编程

6. Master degree or above.

硕士学历及以上

上班地址：天府二街139号水电大厦11楼