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.
您喜欢有全球范围影响力的技术问题吗?您有兴趣通过全新的协作体验和最先进的机器学习模型去开发快速更新迭代的产品吗?
必应多媒体组负责开发面向全球用户的图像和视频搜索/推荐/浏览体验,并致力于Windows、Edge、Azure、MSN等平台,是为必应搜索贡献用户最多的垂直搜索,我们是一个全球团队,在北京、苏州以及贝尔维尤/美国设有办事处。
必应多媒体组的图像搜索团队负责构建微软的全球图像搜索体验,我们的目标是在100多种语言和200多个地区打造相关性,吸引力,权威性,多样化以及用户体验最佳图像搜索引擎,并且还致力于通过最前沿深度学习(计算机视觉,自然语言处理以及多模态)技术打造具有深度学习搜索架构的智能图片搜索引擎。我们是最先进的深度学习模型的创新研究和工程团队,为必应图像搜索提供优秀的用户体验。下面是一些近期的出版物:
  1. Published dataset: and paper , accepted by ACL-2021
  1. accepted by CVPR-2021
  1. , SOTA VL model in early2020;
  1. Blog:
  1. Blog:

我们正在招聘才华横溢、积极进取的,在深度学习、机器学习、自然语言处理、信息检索、计算机视觉、强化学习、数据挖掘和大规模分布式计算方面拥有专业知识的人才。

Responsibilities

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。

Qualifications

  • 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.

机器学习相关的产品经验;
  • 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

具有以下条件者优先:
  • 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

Resources


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