Siemens Careers

机器视觉研究员Research Scientist for Computer Vision, Qingdao/Suzhou

QINGDAO, China; Suzhou, China
Research & Development

Apply
English (UK)

Job Description

Job Description
- Responsible for research and development of Computer Vision & Deep Learning algorithms, e.g. object detection, classification, deep learning, etc.

- Improve the performance of current Computer Vision & Deep Learning algorithms, increase the mAP and processing speed.

- Support for algorithms improvement and self-tuning solution

Support algorithm integration task within related solution or product development

Deliver technical documents according to the project progress

负责图像识别和分类、深度学习等相关算法的研发和实现

优化识别算法、提高识别率及成功率

支持算法改进及自主调节方案

支持算法与产品、解决方案的集成工作

根据项目管理要求提供相关技术报告

Qualifications

Master degree in Computer Science or equivalent

Strong development skills for data structure and algorithms

Familiar with Linux, familiar and capable to use C++, Python and OpenCV

2+ years development expertise in at lease 1 of the listed:  object recognition, object tracing, object behavior recognition, license plate recognition.

Familiar with Computer Vision & Deep Learning algorithms, e.g. Tensorflow, Caffe2, Yolo, C/C++ based CNN algorithms

Self-motivated, good communication skills and good team player

Ability to handle multiple competing priorities in a fast-paced environment

Fluent in English & Chinese (reading, writing, speaking)

计算机或其他相关专业

扎实的数据结构和算法功底

熟悉Linux开发环境,熟悉C++PythonOpenCV

2年以上开发经验,至少具备以下一项项目经验:物体识别,物体追踪,行为判定,汽车尾号识别

熟悉机器视觉&深度学习算法,例如Tensorflow Caffe2 Yolo C/C++等等

具备自我驱动能力,良好的沟通能力及团队协作能力

可以适应多任务并行快速迭代的开发环境

中英文读写交流熟练

Plus

Experience for deep learning algorithms development and fine tuning

Project experience of Machine Learning related development for production, controlling, quality or other manufacturing operations

- Experience on edge device based algorithm is a plus (e.g. Jetson TX2, Movidius, Raspberry PI, etc.) 

深度学习模型调参和优化经验

有生产、控制、质量等制造业项目应用机器学习经验

有边缘计算经验(例如 Jetson TX2, Movidius, Raspberry PI等等)


Job ID: 74660

Organisation: Corporate Technology

Experience Level: Recent College Graduate

Job Type: Full-time





Can't find what you are looking for?

Let's stay connected