Amazon 应用科学家实习生：开源软件开发方向 

Thailand, Bangkok, Bangkok 

544328845

Internship Direction: Open Source Development亚马逊上海人工智能研究院主攻的深度图网络DGL（Deep Graph Library）开源库是该领域的领跑平台。基于深度图计算的研究内容非常丰富，涵盖：1）基础理论研究；2）高性能、高容量核心引擎开发；3）重要的子领域模型研发（推荐系统、反欺诈和风控、知识图谱、制药、时域深度图计算、计算机视觉、自然语言处理、自动知识抽取）；4）客户的应用场景落地。除了每天能与亚马逊上海人工智能研究院的同事们交流外，实习生还将有机会和亚马逊其他部门的同事、上海一流高校的顶级教授、和来自世界各地的一流专家合作，如Matthias Bethge、Stefano Soatto、Pietro Perona、George Karypis、Thomas Brox、David Wipf、付彦伟、张伟楠、邱锡鹏、张岳、张峥等。The advancements in deep learning technology are driving rapid development in the field of artificial intelligence, closely integrating multiple disciplines such as computer vision, natural language processing, graph and network processing, systems engineering, and optimization theory. Moreover, numerous deep learning open-source projects have not only accelerated the pace of academic research but also promoted the commercialization and social application of technology.Key job responsibilities
使用Python/C++ 开发并维护广受欢迎的开源机器学习系统Deep Graph Library (DGL)Shanghai, CHN

1. 计算机科学及相关专业的在校本科生，研究生
2. 计算机基础知识（数据结构，常用算法）扎实，熟练使用Python或C++
3. 良好的表达和沟通能力
4. 可以保证至少 4 个月的实习，每周至少工作 4天1. Bachelor or Master degree in Computer Science or related majors .
2. Solid understanding of CS fundamentals(Data Structures, Algorithm), familiar with Python or C++.
3. Good verbal and written communication skill.
4. At least 4 months internship and 4 days a week.

1. 热爱编程，有开源社区经验者优先
2. 有深度学习框架（Pytorch, Tensorflow）经验者优先1. Familiar with at least one deep learning framework (Pytorch, Tensorflow).
2. Have past open-source community experience.