What if your job description were simply "Make tomorrow better?" That's the essence of roles within our Bing Team. Every day, we bring an insatiable curiosity to the table, challenging ourselves to reimagine what is and what can be. We build on what's come before to create what's next. We drive machine intelligence. We help shape the future. We empower billions of people around the globe. 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
Microsoft is innovating rapidly in this space to grow its share of this market by providing the advertising industry with the state-of-the-art online advertising platform and service. Bing Ads Marketplace and Serving (MPS) team is at the core of this effort, responsible for research and development of all the algorithmic components in our paid search advertising technology stack, including: • User/query intent understanding, document/ad understanding, user targeting • Relevance modeling, IR-based ad retrieval • User response (click and conversion) prediction using large scale machine learning algorithms
Required Qualifications: Bachelor's degree in Computer Science or related areas (such as Engineering, Math, Physics, etc.). MS or PhD degree is preferred. Preferred Qualifications: 3+ years of experience in C#, C++, Java or Python development Outstanding expertise and hands-on experience on machine learning, text analysis, data mining or NLP Passionate, self-motivated Effective communication skills, both verbal and written Familiarity with distributed data processing/analysis and modeling paradigm, such as Map-Reduce and MPI is a plus