Microsoft Post Internal recommendation-software Engineer II

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Job Description

Group:search Technology Center Asia (STCA)/search Ads

Title:sdeii-senior SDE

Location:beijing, China

STCA was founded on year 2005 and are now starting the second "Five-year Plan" after the merge with the Ads Platform Center In 2011. The new team has not only built up its strengths and expanded it scope, but also set a GKFX goal, broadened its vision, and equipped with richer resources which gives the team the confidence to scale new heights.

STCA is now focusing on the following areas:the continuous exploration of Bing search technology; The technical innovation of online advertisement services; The development of the MSN social platform; and the development of mobile search applications. Today, STCA has hundreds of excellent employees and is the largest R & R team of the Microsoft Online Service Division O Utside the states.

Microsoft Asia launches

Microsoft Asia launches is comprised of search technology and advertising technology research and development teams that cover four areas: Microsoft Bing search engine technology, online advertising technology, MSN social Networking and mobile internet research and development. Microsoft Asia launches is an important team and backbone of Microsoft's global online product development, as well as its mission to drive the development of Microsoft's online services market in China and Asia Pacific.

The R & R of Search Ads aims to build an online advertising ecosystem including users, advertisers, and the search Engin E. We is able to identify user needs and preferences from the user query with our leading technology and experience, by W   Hich we establish connections between the "Ad display" and "ads that match the user query." On global market, we'll make impact in Asia market and drive Microsoft online success in the future.

This was a fun and fast paced environment and a great opportunity to work in something highly strategic to Bing search Engi NE, and to Microsoft online service. We have very tough competition and there is a lot of challenges for us to tackle.

Bing Ads Relevance and Revenue team is chartered to deliver world class algorithm and features based on web scale data to Drive user satisfaction, advertiser ROI and Bing revenue per search.

Role and Responsibilities:

As an engineer of the Ads relevance and Revenue team, you'll design, develop, and deliver quality features, with a focus On innovative algorithms and prediction techniques for improving Bing Ads relevance and Bing Revenue.

You must has a passion for taking in the toughest technical challenges, solving hard problems together with your team.

You must feel comfortable operating within a fast moving the team with development strong for passion Quality products, proven track record of working with a product group, excellent written and oral communication.

You'll apply machine learning algorithms, statistical data analysis, computational linguistics, and similar tools to fin D useful patterns in Web-scale data collections. Understand the Search Ads products from end-to-end, identify areas for major improvements and develop the algorithms to MA Ke those improvements real. Measure, interpret, and learn from the results of ongoing testing to make the product even better.

Required Qualifications:

You should has 5+ years of strong expertise in data mining/analysis, machine learning, computational linguistics, or Simi Lar areas; Years demonstrated work experience in search Ads or search; An advanced degree in computer science or closely related field; Strong communications skills (both verbal and written); and great intuition and ability to "make sense of the numbers."

You should is self-motivated and self-directed. A demonstrated ability to come up-to-speed quickly in a new technical domain is presumed. and the ability to work well in a team environment is very important.

Knowledge and experience in any of the following areas are strong plus:web search relevance, Click prediction, C + + Codin G, information retrieval, Data Mining, Natural Language processing, machine learning, strong understanding of the search/a DS ecosystem and Marketplace along with technology, experience writing code on production systems at large scale.

Staffing Consultant:ariel Xiang ([email protected])

Microsoft is an equal opportunity employer and supports workforce diversity.

If you want to try this position, please contact me, I am an employee of Microsoft, can do internal recommendation. Send your resume in Chinese and English to my e-mail: Nicholas.lu.mail (at) gmail.com

Microsoft Post Internal recommendation-software Engineer II