亚马逊Applied Scientist (PhD - Fall Internship), International Technology, 2025 Beijing
任职要求
基本任职资格 - 正在攻读计算机工程，计算机科学，机器学习，运筹学，统计或相关领域的硕士或博士学位。 - 有机器学习实验设计和统计分析的经验。 - 有使用代码和工具实现算法的经验。 - 有Java，C ++或其他编程语言，以及Python或类似脚本语言的经验。 优先任职资格 - 在顶级NLP或ML会议或者期刊上有论文发表。 - 技术视野好；能与技术团队成员深入讨论概念和算法，并对应用问题提出恰当的解决方案。 - 出色的批判性思维能力；能以口头和书面形式清楚地向团队沟通您的技术方案。 - 如有任何问题，请邮件至：cn-sp-sde@amazon.com ，邮件标题请标注“应用科学家+姓名+学校+毕业年份，举例应用科学家+张三+北邮+2025年 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
工作职责
职位：Applied scientist 应用科学家实习生（博士生） 毕业时间：不限，实习期间需保持在校生身份 · 入职日期：2025年Q3 · 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。
* Invent or adapt new scientific approaches, models or algorithms inspired and driven by customers’ needs and benefits at the project level. * Analyze data and identify the gaps in existing solutions, and propose innovative science solutions. * Contribute to research papers that are published at peer-reviewed internal and/or external venues, and contribute to the wider scientific community. * Working with teams worldwide on global projects.
* Invent or adapt new scientific approaches, models or algorithms inspired and driven by customers’ needs and benefits at the project level. * Analyze data and identify the gaps in existing solutions, and propose innovative science solutions. * Contribute to research papers that are published at peer-reviewed internal and/or external venues, and contribute to the wider scientific community. * Working with teams worldwide on global projects.
Lead the design and development of advanced models and algorithms for web search and browsing, collaborate with cross-functional teams, and drive innovation in AI-powered information retrieval.
A good candidate will play a key role in driving algorithmic and modeling improvement to the system, analyze performance and identify opportunities based on offline and online testing, develop and deliver robust and scalable solutions, make direct impact to both user and advertisers experience, and continually increase the revenue for Bing ads. The candidate should also have good communication, collaboration, and analytical skills.