说明：此为在微软公司工作的科大校友转来的招聘启事，但招聘联系人并非校友。有意者请按照文中方式自行联系。本文仅为校友交流信息之用，新创基金会暂无法提供更多信息。
Company: Microsoft, Live Search Infrastructure group
Position: (Research) Software Engineer in Live Search Data Mining team
Hiring Manger: Zijian Zheng
Location: Redmond, WA, USA
The Live Search Data Mining Team is hiring extremely talented, highly motivated and productive individuals. You will be part of a very strong and fun team, building data infrastructure, developing advanced and practical data mining, machine learning, Business Intelligence, and Customer Intelligence techniques for solving the hottest and most challenging problems in the world and generating real impact. Here, you have the right environment and strong support to drive your favorite features to solution. You are empowered to influence millions of end users while impacting Microsoft Online business. You will have the opportunities to work together with world class researchers and developers to stay in the front of advancing technology.
The goal of Live Search is to deliver the most relevant internet search to our customers by building the best search engine. To achieve this goal, data is critical, and data mining/machine learning/statistics/database techniques are the key. We have a huge amount of data ranging from user interaction logs, to web documents, to user feedback, to system performance data. This data contains valuable information for building the #1 system to serve people's information needs. The data is also critical for making appropriate business decisions. The main challenge is to effectively process the data, discover information and put it into action. We are exploring/developing advanced and practical techniques to derive information (such as: understanding user intent, discovering patterns to improve search relevance and result ranking, detecting and filtering bot traffic, spam, and noise, measuring relevance and user satisfaction quickly and effectively, identifying new information needs from end users, identifying weak points of the search system, discovering system performance problems, measuring/understanding the health of the online business, and many many more). We also work on techniques to manage and process petabytes of data efficiently and effectively. You will have opportunities to use and contribute to a high performance super-parallel/distributed massive storage computer system (cloud computation).
Job Responsibilities include:
• Analyze (including processing) a huge amount of data by using data mining, statistics, and database techniques. The goal is to measure/understand user experience, system performance, and business health, generate actionable insights for improving search systems, and increasing user satisfaction.
• Research and exploration in the areas of data mining, machine learning, text mining, search system live measurement and monitoring, bot/spam traffic identification and filtering, etc.
• Work with other teams in Live Search and other online business units on identifying problems in different areas where data mining/machine learning/statistics can help. Explore and develop solutions to these problems. Act as an expert in the area of data mining/machine learning/statistics to serve the fast growing needs of Live Search.
• Develop techniques/algorithms/measurement for the research and analysis work mentioned above.
• Design and carry out experiments to evaluate research/development results and their real impact on Live Search production systems.
• Own some of the features/problem spaces in this area and provide technical leadership to other developers.
Qualifications:
• Extensive knowledge and experience in at least one of the following areas: data mining, web mining, machine learning, statistics, business intelligence/customer intelligence, user modeling, information retrieval, databases, data warehousing, OLAP, data processing (ETL), e-metrics/measurement, parallel and distributed computation (two or more areas are preferred).
• Strong theory/algorithm background and very good understanding on how to apply advanced knowledge to solve real problems.
• Solid experience in very large real world data processing/analysis especially with web data.
• Experience/knowledge with various data analysis tools, data mining tools, and statistical packages
• Superior communications skills, both verbal and written.
• Ability to work independently and in a team to research innovative solutions to challenging business/technical problems.
• Attention to detail and data accuracy.
• Extensive software design and development skills/experience with C/C++/C#/SQL (minimum 5 years, preferred: 7 years).
• Bachelor degree in computer science and Master degree in the area of data mining/machine learning/statistics/databases or related areas are required. PhD is preferred.
Contact:
Please send your resume to Zijian Zheng; zijianz_AT_microsoft.com
2008-04-09 上一篇: 纪念于明辉校友捐款通知 下一篇: 章晓斌，8516校友