Online Advertising is one of the fastest growing businesses on the Internet today, with about $70 billion of a $600 billion advertising market already online. Search engines, web publishers, major ad networks, and ad exchanges are now serving billions of ad impressions per day and generating terabytes of user events data every day. The rapid growth of online advertising has created enormous opportunities as well as technical challenges that demand computational intelligence. Computational Advertising has emerged as a new interdisciplinary field that involves information retrieval, machine learning, data mining, statistics, operations research, and micro-economics, to solve challenging problems that arise in online advertising. The central problem of computational advertising is to select an optimized slate of eligible ads for a user to maximize a total utility function that captures the expected revenue, user experience and return on investment for advertisers. Microsoft is innovating rapidly
The Ads Understanding and Selection team in Bing Ads is responsible for developing scalable analytics solutions and systems in the areas of automatic advertiser campaign generation, effective user targeting, personalized ads selection, ad content and format optimization. The team also works on a number of new initiatives to improve advertising campaign efficiency and advertiser on-boarding experience, as well as technologies underling novel marketing offerings to leverage the synergy between search and display advertising capabilities. We are looking for a Sr. SDE with R and D background to conduct
5+ years of data mining and/or online serving system development experiencerequired. MS degree in CS/EE/related engineering field required. Outstanding expertise and research experience on statistical machine learning, data mining, information retrieval, optimization, Bayesian inference and MCMC preferred. Excellent problem solving and data analysis skills. Passionate, self-motivated. Effective communication skills, both verbal and written. Strong software design and development skills/experience PhD degree in CS/EE or related areas is preferred. Familiarity with distributed data processing/analysis