Are you a bright engineer interested in processing massive amounts of data? We are seeking folks with solid experience in server-side engineering. You will be applying machine learning algorithms for information extraction, categorization and normalization of online purchases, with emphasis on the Japanese language. You'll be working with a lean, fast-paced team of folks from companies like LinkedIn, MySpace, AOL, Yahoo!, and eBay to push out applications that will change the way people shop. Requirements: • Design and develop infrastructure to process large amounts of data using distributed technologies, such as Map/Reduce, HIVE/Pig • Proficient with Java, multithreading, distributed systems at scale • Experience with tokenization and feature extraction for Japanese text using NLP techniques • Bonus: Experience with SQL, MongoDB • Bonus: Exposure to information retrieval, classification, graph mining, and/or recommendation engines • BS (MS preferred) in CS, EE, or related degree Founded by proven entrepreneurs out of Stanford, Slice is a consumer internet company based in downtown Palo Alto that is venture backed by Lightspeed, DCM, Eric Schmidt and other top Valley investors. We're a talented team possessing consumer internet experience with a passion for delighting users through amazing product experiences. Slice is changing the way that people interact with the stuff they buy AFTER they buy it. And we're doing this by tackling it at the source of electronic receipts: the inbox. We're using email data to create fun and useful consumer applications and experiences. Our app for iOS/Android provides an easy way for consumers to manage & track all of their purchases and save money with price drop alerts. Resumes/Linkedin/portfolios → hannahft [at] stanfordalumni [dot] org