我们所在的部门是阿里巴巴的搜索事业部，负责淘宝、天猫等阿里各种场景下的搜索、
排序、推荐相关工作，调控淘宝、天猫上70%以上的流量，属于阿里最核心的算法岗位。
现在长期社招算法相关岗位（P6-P8都可以），非常欢迎各位校友能加入。此外，我们部
门在各种顶级学术会议上也有很多相关工作，例如KDD、WWW、ICLR、SIGIR、IJCAI等。
有兴趣的同学可以加我微信我了解更详细情况或者简历发我邮箱：微信（①8五0⑤⑤
15五肆⑤），邮箱：shi*chen.lsc@ali*baba-inc.com( 去掉*号)

岗位要求如下：

Our team is responsible for the machine learning technology powering Taobao　
Searching Platform w.r.t. CTR prediction, dynamic pricing, ranking, query　
understanding, recommendation systems, and much more. Our technology enables　
thousands of brands, sellers and authors to drive discovery and sales of　
their products at Amazon by millions of customers. We are growing at an　
unprecedented rate with an endless range of technical challenges to solve.


Major responsibilities
. Use machine learning and analytical techniques to create scalable　
solutions for business problems
. Analyze and extract relevant information from large amounts of Taobao''s　
historical business data to help automate and optimize key processes
. Design, development and evaluation of highly innovative models for　
predictive learning
. Work closely with software engineering teams to drive real-time model　
implementations and new feature creations
. Work closely with operations staff to optimize various business　
operations,
. Establish scalable, efficient, automated processes for large scale data　
analyses, model development, model validation and model implementation
. Track general business activity and provide clear, compelling management　
reporting on a regular basis
. Research and implement novel machine learning and statistical approaches


BASIC QUALIFICATIONS
. Major in CS machine learning, Operational research, Statistics or in a　
highly quantitative field
. Hands-on experience in predictive modeling and analysis
. Strong grasp of machine learning, data mining and data analytics　
techniques
. Strong Problem solving ability
. Comfortable using Java or C++/C. Experience in using Perl or Python (or　
similar scripting language) for data processing and analytics.
. Communication and data presentation skills