![]() |
|
登录注册 |
☦ 上海理工大学论坛 > 招聘信息 > 浏览当前帖子 | 手机版 - 认证发帖 - 隐藏左侧栏 |
瓴盛科技AI team实习生招聘 | |
【返回本版】 【发表帖子】 【回复帖子】 | 浏览量 1365 回帖数 0 |
![]() |
hengjielin 等级 瓶子 楼主 发表于 2019/7/5 14:02:10 编 辑 |
|
关于瓴盛科技 瓴盛科技有限公司由北京建广资产管理有限公司、联芯科技有限公司、高通(中国)控股有限公司、北京智路资产管理有限公司共同出资,注册资本为29.8亿人民币。 瓴盛科技立足中国、面向全球市场,主要提供智能手机芯片组、多元化智能终端和物联网解决方案等的设计、封装、测试、客户支持、销售、技术咨询等业务。 职位详情 Computer Vision/Deep Learning Research Intern (Shanghai) Responsibilities: Research minimal computation techniques for speed and power efficiency; Robust learning through minimal data; Conduct state-of-the-art research in machine learning, deep learning, computer vision and natural language processing; Research and evaluate state-of-the-art AI algorithm prototype for our projects; Tools for optimizing on-device execution such as model compression and optimized compilation. Requirements: Master degree in Electrical Engineering, Computer Science or related field; Experience in deep networks (CNN, DBN, RNN, LSTM, DCN) ; Experience implementing DL algorithms in high-level languages/packages (e.g. Python, C++, Java, MATLAB) ; Strong understanding of machine learning algorithms & principles, and numerical optimization ; Experience using machine learning toolboxes (e.g. Caffe, TensorFlow, or PyTorch) ; Experience implementing machine learning algorithms on embedded platforms ; Track record of research excellence and high quality publications ; Knowledge of application areas, such as computer vision or speech analysis. Computer Vision/Deep Learning Software Intern (Shanghai) Responsibilities: Implement OpenVX application for AI algorithms. Analyzing OpenVX application performance from application, driver, compiler and hardware view Implement software framework for deploying AI vision algorithms on embedded devices. Requirements: Master degree in Electrical Engineering, Computer Science, Information System or related field. Proficiency in C/C++ Language; Knowledge of deep neural networks, and good experience in CNN-based algorithms on image processing and computer vision; Experience in popular deep learning frameworks, Tensorflow, Caffe or Pytorch etc. Good English listening, speaking, reading and writing. Interns职位申请,请发送简历至 resume@jlq.com |
1 |
论坛帮助 会员认证删帖申请 联系我们 |