Careers

职位：Applied scientist 应用科学家实习生 毕业时间：2024年10月 - 2025年9月之间毕业的应届毕业生 · 入职日期：2024年6月及之前 · 实习时间：保证一周实习4-5天全职实习，至少持续3个月 · 工作地点：北京朝阳区酒仙桥路恒通商务园区 · 校招信息请参考校园招聘申请手册： https://amazonexteu.qualtrics.com/CP/File.php?F=F_55YI0e7rNdeoB6e 投递须知： 1 填写简历申请时，请把必填和非必填项都填写完整。提交简历之后就无法修改了哦！ 2 学校的英文全称请准确填写。 如果您正在攻读NLP，IR或搜索领域专业的博士或硕士研究生，而且对应用科学家的实习工作感兴趣。如果您也喜爱深入研究棘手的技术问题并提出解决方案，用成功的产品显著地改善人们的生活。 那么，我们诚挚邀请您加入亚马逊的International Technology搜索团队改善Amazon的产品搜索服务。我们的目标是帮助亚马逊的客户找到他们所需的产品，并发现他们感兴趣的新产品。 这会是一份收获满满的工作。您每天的工作都与全球数百万亚马逊客户的体验紧密相关。您将提出和探索NLP和IR领域的创新，基于TB级别的产品和流量数据设计机器学习模型。您将集成这些模型到搜索引擎中为客户提供服务，通过数据，建模和客户反馈来完成闭环。您对模型的选择需要能够平衡业务指标和响应时间的需求。 We are open to hiring candidates to work out of one of the following locations: Beijing, 11, CHN

Internship Direction: Multi-Modal Retrieval and Generation 深度学习技术的进步正在推动人工智能领域的快速发展，将多个学科领域如计算机视觉、自然语言处理、图与网络数据理解、系统工程以及优化理论等紧密结合。同时，众多深度学习开源项目，不仅加速了学术研究的进程，也推动了技术的商业化和社会化应用。 亚马逊上海人工智能研究院是深度学习研究的领军团队之一。我们的研究包括但不限于以下方向：深度学习基础理论、自然语言处理、计算机视觉、图机器学习、高性能计算、智能推荐系统、反欺诈与风控、知识图谱构建以及智能决策系统等。研究院积极推进深度学习的开源生态建设，其主攻的深度图网络DGL（Deep Graph Library）开源库是该领域的领跑平台。我们致力于通过跨领域的研究和合作，推进人工智能技术的边界，并通过开源项目的贡献，促进全球研究社区的共同进步。 我们诚邀对深度学习和人工智能充满热情的实习生加入我们的团队。我们希望通过你的智慧和努力，共同探索深度学习在各研究方向和应用领域的新算法和模型，进一步扩大我们研究的深度和广度。在实习期间，你将有机会在资深mentor的指导下深入研究深度学习的子领域或具体应用场景，掌握该领域的发展趋势和关键技术，实现创新模型，并有可能通过开源贡献或学术发表，向全球科研和工业界展示你的成果。 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Alon Halevy, Christos Faloutsos、Stefano Soatto、Pietro Perona、George Karypis、Thomas Brox、 David Wipf、付彦伟、张伟楠、张牧涵、邱锡鹏、张岳、张峥等。 点击下方链接查看申请手册获得更多信息： https://amazonexteu.qualtrics.com/CP/File.php?F=F_55YI0e7rNdeoB6e 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. The AWS Shanghai AI Lab is one of the leading institutes in deep learning research. Our research areas include, but are not limited to, the foundational theory of deep learning, natural language processing, computer vision, graph machine learning, high-performance computing, intelligent recommendation systems, fraud detection and risk control, knowledge graph construction, and intelligent decision-making systems. The institute actively promotes the construction of an open-source ecosystem for deep learning, highlighting the Deep Graph Library (DGL) as a leading platform in its field. We are committed to pushing the boundaries of AI technology through interdisciplinary research and collaboration, and by contributing to open-source projects, we aim to promote progress with the global research community altogether. We warmly invite interns who are passionate about deep learning and artificial intelligence to join our team. We hope to explore new algorithms and models in various research directions and application areas of deep learning together, further expanding the depth and breadth of our research. During the internship, you will have the opportunity to delve into subfields or specific application scenarios of deep learning under the guidance of experienced mentors, grasp the development trends and key technologies of the field, create innovative models, and showcase your results to the global scientific and industrial communities through open-source contributions or academic publications. In addition to daily interactions with colleagues at the AWS Shanghai AI Lab, interns will also have the opportunity to collaborate with colleagues from other departments of Amazon, top professors from leading universities in Shanghai, and world-class experts from around the globe, such as Alon Halevy, Christos Faloutsos, Stefano Soatto, Pietro Perona, George Karypis, Thomas Brox, David Wipf, Yanwei Fu, Weinan Zhang, Muhan Zhang, Xipeng Qiu, Yue Zhang, Zheng Zhang, and others. We are open to hiring candidates to work out of one of the following locations: Shanghai, CHN

Internship Direction: Open Source Development 深度学习是当前人工智能领域最热门的研究方向，它将机器学习、统计学、优化和系统工程紧密地结合在一起。深度学习成功的关键因素之一便是在计算机视觉、自然语言处理、时间序列、深度图学习和强化学习等领域里出现的众多开源项目。这些项目既可以被用来复现研究成果，也可以帮助实际应用的快速部署落地。 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。 我们正在招募聪明努力的实习生，希望一起为开源生态添砖加瓦。我们期望能实现更多图神经网络在各个研究方向与应用领域的高级算法，让DGL在前沿研究与应用落地上越来越强大称手。在实习期间，你将在mentor的指导下深入调研图神经网络的具体子研究或应用领域，了解该领域发展脉络与重要工作，实现重要的模型快速进入该领域的最前沿，在此基础上提出更新的算法，通过开源发布让全世界的科研人员受益，也通过合作发表论文分享给整个学术圈。 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. The AWS Shanghai AI Lab is one of the leading institutes in deep learning research. Our research areas include, but are not limited to, the foundational theory of deep learning, natural language processing, computer vision, graph machine learning, high-performance computing, intelligent recommendation systems, fraud detection and risk control, knowledge graph construction, and intelligent decision-making systems. The institute actively promotes the construction of an open-source ecosystem for deep learning, highlighting the Deep Graph Library (DGL) as a leading platform in its field. We are committed to pushing the boundaries of AI technology through interdisciplinary research and collaboration, and by contributing to open-source projects, we aim to promote progress with the global research community altogether. We warmly invite interns who are passionate about deep learning and artificial intelligence to join our team. We hope to explore new algorithms and models in various research directions and application areas of deep learning together, further expanding the depth and breadth of our research. During the internship, you will have the opportunity to delve into subfields or specific application scenarios of deep learning under the guidance of experienced mentors, grasp the development trends and key technologies of the field, create innovative models, and showcase your results to the global scientific and industrial communities through open-source contributions or academic publications. In addition to daily interactions with colleagues at the AWS Shanghai AI Lab, interns will also have the opportunity to collaborate with colleagues from other departments of Amazon, top professors from leading universities in Shanghai, and world-class experts from around the globe, such as Alon Halevy, Christos Faloutsos, Stefano Soatto, Pietro Perona, George Karypis, Thomas Brox, David Wipf, Yanwei Fu, Weinan Zhang, Muhan Zhang, Xipeng Qiu, Yue Zhang, Zheng Zhang, and others. 点击下方链接查看申请手册获得更多信息： https://amazonexteu.qualtrics.com/CP/File.php?F=F_55YI0e7rNdeoB6e 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) We are open to hiring candidates to work out of one of the following locations: Shanghai, CHN

Internship Direction: Relational Machine Learning 深度学习技术的进步正在推动人工智能领域的快速发展，将多个学科领域如计算机视觉、自然语言处理、图与网络数据理解、系统工程以及优化理论等紧密结合。同时，众多深度学习开源项目，不仅加速了学术研究的进程，也推动了技术的商业化和社会化应用。 亚马逊上海人工智能研究院是深度学习研究的领军团队之一。我们的研究包括但不限于以下方向：深度学习基础理论、自然语言处理、计算机视觉、图机器学习、高性能计算、智能推荐系统、反欺诈与风控、知识图谱构建以及智能决策系统等。研究院积极推进深度学习的开源生态建设，其主攻的深度图网络DGL（Deep Graph Library）开源库是该领域的领跑平台。我们致力于通过跨领域的研究和合作，推进人工智能技术的边界，并通过开源项目的贡献，促进全球研究社区的共同进步。 我们诚邀对深度学习和人工智能充满热情的实习生加入我们的团队。我们希望通过你的智慧和努力，共同探索深度学习在各研究方向和应用领域的新算法和模型，进一步扩大我们研究的深度和广度。在实习期间，你将有机会在资深mentor的指导下深入研究深度学习的子领域或具体应用场景，掌握该领域的发展趋势和关键技术，实现创新模型，并有可能通过开源贡献或学术发表，向全球科研和工业界展示你的成果。 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Alon Halevy, Christos Faloutsos、Stefano Soatto、Pietro Perona、George Karypis、Thomas Brox、 David Wipf、付彦伟、张伟楠、张牧涵、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. The AWS Shanghai AI Lab is one of the leading institutes in deep learning research. Our research areas include, but are not limited to, the foundational theory of deep learning, natural language processing, computer vision, graph machine learning, high-performance computing, intelligent recommendation systems, fraud detection and risk control, knowledge graph construction, and intelligent decision-making systems. The institute actively promotes the construction of an open-source ecosystem for deep learning, highlighting the Deep Graph Library (DGL) as a leading platform in its field. We are committed to pushing the boundaries of AI technology through interdisciplinary research and collaboration, and by contributing to open-source projects, we aim to promote progress with the global research community altogether. We warmly invite interns who are passionate about deep learning and artificial intelligence to join our team. We hope to explore new algorithms and models in various research directions and application areas of deep learning together, further expanding the depth and breadth of our research. During the internship, you will have the opportunity to delve into subfields or specific application scenarios of deep learning under the guidance of experienced mentors, grasp the development trends and key technologies of the field, create innovative models, and showcase your results to the global scientific and industrial communities through open-source contributions or academic publications. In addition to daily interactions with colleagues at the AWS Shanghai AI Lab, interns will also have the opportunity to collaborate with colleagues from other departments of Amazon, top professors from leading universities in Shanghai, and world-class experts from around the globe, such as Alon Halevy, Christos Faloutsos, Stefano Soatto, Pietro Perona, George Karypis, Thomas Brox, David Wipf, Yanwei Fu, Weinan Zhang, Muhan Zhang, Xipeng Qiu, Yue Zhang, Zheng Zhang, and others. 点击下方链接查看申请手册获得更多信息： https://amazonexteu.qualtrics.com/CP/File.php?F=F_55YI0e7rNdeoB6e We are open to hiring candidates to work out of one of the following locations: Shanghai, CHN

Internship Direction: Agent for Data Analytics 深度学习技术的进步正在推动人工智能领域的快速发展，将多个学科领域如计算机视觉、自然语言处理、图与网络数据理解、系统工程以及优化理论等紧密结合。同时，众多深度学习开源项目，不仅加速了学术研究的进程，也推动了技术的商业化和社会化应用。 亚马逊上海人工智能研究院是深度学习研究的领军团队之一。我们的研究包括但不限于以下方向：深度学习基础理论、自然语言处理、计算机视觉、图机器学习、高性能计算、智能推荐系统、反欺诈与风控、知识图谱构建以及智能决策系统等。研究院积极推进深度学习的开源生态建设，其主攻的深度图网络DGL（Deep Graph Library）开源库是该领域的领跑平台。我们致力于通过跨领域的研究和合作，推进人工智能技术的边界，并通过开源项目的贡献，促进全球研究社区的共同进步。 我们诚邀对深度学习和人工智能充满热情的实习生加入我们的团队。我们希望通过你的智慧和努力，共同探索深度学习在各研究方向和应用领域的新算法和模型，进一步扩大我们研究的深度和广度。在实习期间，你将有机会在资深mentor的指导下深入研究深度学习的子领域或具体应用场景，掌握该领域的发展趋势和关键技术，实现创新模型，并有可能通过开源贡献或学术发表，向全球科研和工业界展示你的成果。 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Alon Halevy, Christos Faloutsos、Stefano Soatto、Pietro Perona、George Karypis、Thomas Brox、 David Wipf、付彦伟、张伟楠、张牧涵、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. The AWS Shanghai AI Lab is one of the leading institutes in deep learning research. Our research areas include, but are not limited to, the foundational theory of deep learning, natural language processing, computer vision, graph machine learning, high-performance computing, intelligent recommendation systems, fraud detection and risk control, knowledge graph construction, and intelligent decision-making systems. The institute actively promotes the construction of an open-source ecosystem for deep learning, highlighting the Deep Graph Library (DGL) as a leading platform in its field. We are committed to pushing the boundaries of AI technology through interdisciplinary research and collaboration, and by contributing to open-source projects, we aim to promote progress with the global research community altogether. We warmly invite interns who are passionate about deep learning and artificial intelligence to join our team. We hope to explore new algorithms and models in various research directions and application areas of deep learning together, further expanding the depth and breadth of our research. During the internship, you will have the opportunity to delve into subfields or specific application scenarios of deep learning under the guidance of experienced mentors, grasp the development trends and key technologies of the field, create innovative models, and showcase your results to the global scientific and industrial communities through open-source contributions or academic publications. In addition to daily interactions with colleagues at the AWS Shanghai AI Lab, interns will also have the opportunity to collaborate with colleagues from other departments of Amazon, top professors from leading universities in Shanghai, and world-class experts from around the globe, such as Alon Halevy, Christos Faloutsos, Stefano Soatto, Pietro Perona, George Karypis, Thomas Brox, David Wipf, Yanwei Fu, Weinan Zhang, Muhan Zhang, Xipeng Qiu, Yue Zhang, Zheng Zhang, and others. 点击下方链接查看申请手册获得更多信息： https://amazonexteu.qualtrics.com/CP/File.php?F=F_55YI0e7rNdeoB6e We are open to hiring candidates to work out of one of the following locations: Shanghai, CHN