Software Development Engineer II

Software Development Engineer II - BING (778257)

Job Category: Software Engineering: Development Location: Bellevue, WA, US Job ID: 778257-69605 Division: Online Services Division Since Bing launched in June of 2009, the search world has changed for the better. We're helping people break free from search overload and enabling them to make decisions with Bing's powerful, friendly tools. We're attracting new users and changing how people think about Microsoft and Search. We have a long road ahead and we need your help! Key to our continued success in this hypercompetitive space is taking enormous volumes of data and turning them into useful, actionable information to drive increased user engagement through great Bing features and improvements. We're talking petabytes of data about how searches succeed, how they fail, and how we can improve Bing and our partner properties like maps, commerce, travel, and more. Want to work on a fast-paced high visibility product team? Want to solve problems that involve billions of documents, millions of users, and thousands of machines, using the latest research technology? Our team is looking for people like you! The Bing Whole Page Relevance team is part of Microsoft's Online Services RD organization. We are responsible for predicting the relevance of different types of search results (e.g., web documents, ads, images, videos, maps, social) and then optimizing page layout using this information. Responsibilities: Independently designing, implementing, and shipping major search features Analyzing terabytes of data to find patterns of interest Developing offline tools for data collection and analysis Collaborating with the other engineering and scientific teams to innovate and improve the Bing user experience Requirements: B.S. in Computer Science or equivalent experience 4+ years of software engineering experience, ideally in C or C++ Great design, problem solving, and coding skills with a strong bias for quality Familiarity with large-scale online systems, machine-learning, information retrieval, or web search is preferred O:BING BINGND XBNGXDV:NIDR*LI