微软近期Open的职位:

Job Description

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

Title: SDEII-Senior SDE

Location: Beijing, China

STCA was founded in year 2005 and is 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 its scope, but also set a shared goal, broadened its vision, and equipped with richer resources that 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&D team of the Microsoft Online Service Division outside the United States.

微软亚洲搜索技术中心

微软亚洲搜索技术中心由搜索技术和广告技术研发团队组成，其研发方向涵盖四大领域： 微软必应（Bing）搜索引擎技术，在线广告技术，MSN社交网络及移动互联网研发。微软亚洲搜索技术中心是微软全球在线产品研发的一支重要团队和中坚力量，同时它也肩负着推动微软在中国及亚太地区在线服务市场发展的使命。

The R&D of Search Ads aims to build an online advertising ecosystem including users, advertisers, and the search engine. We are able to identify user needs and preferences from the user query with our leading technology and experience, by which we establish connections between the “Ad display” and “ads that match the user query.” &nbsp Not only on global market, we will make impact in Asia market and drive Microsoft online success in future.

This is a fun and fast paced environment and a great opportunity to work on something highly strategic to Bing search engine, and to Microsoft online service. We have very tough competition and there are 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 will 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 have a passion for taking on the toughest technical challenges, solving hard problems together with your team.

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

You will apply machine learning algorithms, statistical data analysis, computational linguistics, and similar tools to find 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 make those improvements real. Measure, interpret, and learn from the results of ongoing testing to make the product even better.

Required Qualifications:

You should have 5+ years of strong expertise in data mining/analysis, machine learning, computational linguistics, or similar areas; 3+ 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 be self-motivated and self-directed. A demonstrated ability to come up-to-speed quickly on 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 is strong plus: Web search relevance, Click Prediction, C/C++ coding, Information Retrieval, Data Mining, Natural Language Processing, Machine Learning, strong understanding of the search/Ads ecosystem and marketplace along with technology, experience writing code in production systems at large scale.

Staffing Consultant: Ariel Xiang (axiang@microsoft.com)

Microsoft is an equal opportunity employer and supports workforce diversity.

如果你想试试这个职位，请跟我联系，我是微软的员工，可以做内部推荐。发你的中英文简历到我的邮箱：Nicholas.lu.mail(at)gmail.com