Applied Scientist – All-Levels in SZ -Video Recommendation Team For Windows/Edge/Bing at Microsoft

Applied Scientist – All-Levels in SZ -- Video Recommendation Team For Windows/Edge/Bing

Suzhou, Jiangsu, China
  • Suzhou, Jiangsu, China

Save save Applied Scientist – All-Levels in SZ -- Video Recommendation Team For Windows/Edge/Bing to job cart
  • Job number 1217593
  • Date posted Nov 30, 2021
  • Travel 0-25 %
  • Profession Engineering
  • Role type Individual Contributor
  • Employment type Full-Time

Do you like working on technology problems which impact people on a global scale? Are you interested in creating brand new collaborative experiences by state-of-the-art machine learning models fora rapidlyevolving and expanding machine-learning empowered products?
Bing Multimedia Group is responsible for developing global image & video search/recommendation/browsing experiences in Bing,and alsocontributes to Windows, Edge, Azure, MSN, etc., which is the largest vertical in Bing to contribute DAU & engagements, we are a global team with offices in Beijing, Suzhou, as well as Bellevue/USA.
The Bing Image Search Team in Bing Multimedia Group is responsible for building global image search experiences for Microsoft, we are targeting to build the world's best image search engine in aspect of relevance, attractiveness, authority, diversity, user experience and engagement etc. on 100+ languages & 200+ regions, Bing Image Search is also targeting to be most intelligent one with deep learning ranking stack with technique in area of CV, NLP, Multi-modalityetc..The team isinnovativeresearch and engineering team working on state-of-the-art deep learning models to power end user experiences of Bing Image Search. Below are some publications of Bing Image Search Team in past years:
  1. published dataset: and paper , accepted by ACL-2021
  1. accepted by CVPR-2021
  1. , SOTA VL model in early2020;
  1. Blog:
  1. Blog:

We are hiring talented, highly motivated applied scientists with expertise in deep learning, machine learning, natural language processing, information retrieval, computer vision, reinforcement learning, data mining, and large-scale distributed computation.
  1. Published dataset: and paper , accepted by ACL-2021
  1. accepted by CVPR-2021
  1. , SOTA VL model in early2020;
  1. Blog:
  1. Blog:



As a member of our team you will design, develop, evaluate & deploy machine learning models, as well as corresponding metrics/measurements, online & offline pipelines, and integrate into production runtimes. You need to closely work together with our top machine learning scientists/researchers nearby and remotely, build our core machine learning horsepower, contribute to billion scale machine learning systems, and improve our video recommendation products(including video feeds, related videos, etc.) in Microsoft Bing & Windows & Edge, etc...
作为团队的一员,您将设计、开发、评估和部署机器学习模型以及相应的指标/测量、产品的在线/离线模块。您会与顶级机器学习科学家/研究人员密切合作,构建我们的产品核心驱动力,为数十亿级规模的机器学习系统做出贡献,并在微软必应和Windows & Edge等平台改进我们的图像搜索产品。


  • tracking records of delivering machine learning empoweredproducts;
  • familiar with e2e machine learning development cycle,from model measurements/training/evaluation,to optimization/deployment,etc.;
  • Experiences in one of these training frameworks:Pytorch,Tensorflow,MxNet,etc.;
  • Experiences in one of these domains: search engines, recommendation systems, computer vision, deep-learning, natural languageprocessing;
  • Experiences in one of these programming languages: Python, C++, C#,etc.;
  • Experiences in big data mining, familiar with Hadoop/Spark is aplus;
  • Experiences in information retrieval recall & ranking area is a plus
  • Solid Communication/Collaboration skills to work with team members acrossglobal;
  • MS/PhD degree in Computer Science or a related discipline.

  • 熟悉端到端机器学习开发的模型测量/训练/评估测试到优化/部署等流程
  • 熟悉至少一个机器学习训练平台:Pytorch,Tensorflow,MxNet等:
  • 在这些领域之一的经验:搜索引擎、推荐系统、计算机视觉、深度学习、自然语言处理
  • 熟悉至少一种编程语言:Python、C++、C#等

  • 大数据,数据挖掘经验,熟悉Hadoop/Spark:
  • 信息检索系统的排序与召回领域经验
  • 扎实的沟通/协作技能,能与全球团队成员合作;
  • 计算机科学或相关学科的硕士/博士学位。

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the .
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Benefits and Perks

  • Industry leading healthcare
  • Savings and investments
  • Giving programs
  • Educational resources
  • Maternity and paternity leave
  • Opportunities to network and connect
  • Discounts on products and services
  • Generous time away


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