如果你：
是计算机专业或其他相关专业的硕士、博士或者本科生；
具备扎实的计算机科学基础知识；
渴望加入到充满机会和挑战的团队；
梦想自己的工作成果为全球亿万互联网用户所使用……
请加入我们！
全部职位请访问：
http://beijing.yahoo.com/ 简历请发送到 jobs-bj@yahoo-inc.com，并在邮件正文中标明从何处得到招聘信息。
邮件标题：姓名_申请职位_可实习时间_持续实习期。例如：张三_Intern System Engineer_每周四天_连续六个月
Company: Yahoo! Labs
Title: Intern Research Engineer
Job Location: Beijing, PRC
Contact: jobs-bj@yahoo-inc.com
Prerequisites:
1. Be able to work over 4 days a week for at least 6 months
2. Enrolled as student during the whole internship period.
About Yahoo! Labs,
Do you enjoy solving challenging and complex problems? Are you passionate about dealing with Tega-byte daily data? Do you want to help deliver the best user experience to billions of page views by hundreds of millions of users around the planet every day? Do you like to be the part of the team building one of the most trafficked Internet destinations?
Yahoo! Labs Beijing is the youngest lab in the family of Yahoo! Labs world-wide. Our mission is to improve, revolute, and invent Yahoo's internet products through deep science and technology. We are building world-class teams and expertise on four fields: product-driven sciences; large scale research infrastructure and engineering; deep science driven product innovation; and long-term research and academic relationship.
Some of the prominent research projects we’re working on in the Beijing Labs include:
• Web-scale recommendation: In the post-search era, we are facing the technical challenge of recommending high quality information to correct user, at correct context. Given Yahoo!’s significant strength on web content, we shall make significant efforts towards the solution to web-scale recommender system. There arise quite a few research problems ranging from large scale similarity search, effective user interest modeling, real-time user response optimization to exploration and exploitation mechanism. We are eager to work with talents who are passionate on make the web-scale recommender system alive!
• Social network and data analysis: Social networking sites like Facebook are gaining in popularity in today’s Web. Our research focuses on analyzing the social graphs underlying mail, IM and social networking sites to find influencers, filter out spam, and recommend ads, topics and people to users based on their connections. Another interesting trend on the Web is the rapid growth of user-generated content in the form of blogs, article comments, ratings and reviews, photos, etc. Ranking, summarizing, detecting abuse, and analyzing the sentiment of the vast amounts of user-generated content poses a non-trivial research challenge.
• Computational advertising: The central challenge here is to find the best ad to present to a user engaged in a given context. Selecting an ad which improves the user’s Web-experience while maximizing revenue is a non-trivial challenge. It involves identifying the right audience who may be interested in your product and ready to buy it, quantifying relevance between an ad and its context and predicting click through rates. This being a nascent area, there is tremendous scope for new algorithms that perform and scale better. Our goal is to apply scientific methodology and state-of-the-art technology to display and search advertising to optimize monetization of web traffic.
• Multimedia search: Increasingly, users of the Web are drawn to interesting multimedia content in the form of images and videos. Flickr alone has a sizable fraction of all the images on the Web. Our research aims to answer questions like: How do we retrieve the most relevant multimedia content taking into account both content features and metadata (e.g., tags)? How do we find similar or related content – across music, image, and video databases – when we have billions of objects?
• Mobile science: Beijing mobile science is actively advancing the state-of-the-art of mobile related research areas, and providing science driven product innovation for the mobile internet. We are facing a lot of challenging science topics, such as mobile behavior analysis, deep local understanding, personalized recommendation, information exploration, mobile advertising and user experience optimization. Based upon Yahoo!’s huge amount of internet data and pioneering distributed computing platform, the team will systematically build the science technology stack for mobile internet. On the other hand, our results will be important to help Yahoo! to build excellent mobile internet services, and endow mobile essentials to existing web products.
We are seeking full time interns who have solid software development training to help improve the backend optimization system.
Minimum Requirements:
1. Good programming skills using C/C++.
2. Excellent analytical and problem solving skills.
3. Good communication and teamwork spirit.
4. Minimum 6-month full-time availability.
Preferred Job Qualifications:
1. M.S. or PhD candidate in Computer Science or related fields.
2. Solid understanding of Machine Learning, Data Mining, or Computational Optimization.
3. Fluent in a scripting language such as Python, Perl, or UNIX shell.
4. Prior exposure to Hadoop and distributed programming.
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修改:yahoo66 FROM 117.104.188.*
FROM 117.104.188.*