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Dropbox | Machine Learning Engineer | San Francisco, Seattle, New York | Onsite, full-time Dropbox’s Machine Learning team develops high-impact solutions that touch millions of people and a lot of data. From images and videos to documents and audio (in every language!), the Dropbox ML team tackles it all! We leverage the full range of classic & modern ML techniques (whatever a problem calls for!), including {semi,un,}supervised learning, deep learning of all flavors (from CNNs to LSTMs and beyond!), and online/interactive learning. See this blog post for a deep-dive into a recent feature we developed (OCR on scanned documents): https://blogs.dropbox.com/tech/2017/04/creating-a-modern-ocr We're looking for people with either academic or practical backgrounds in machine learning, ideally with experience in natural language understanding, information retrieval, knowledge extraction, and/or deep learning. Responsibilities: - Work within the Machine Learning Team to prototype, design, code, train, test, deploy, and iterate on large scale machine learning systems. - Build delightful products and experiences for millions, while working alongside an excellent, cross-functional team across Engineering, Product and Design. - Help shape the direction of machine learning and artificial intelligence at Dropbox. Benefits and Perks: - Getting to make a tremendous impact on our infrastructure & products, which are used by hundreds of millions of people around the world - Working with a highly skilled and experienced team with backgrounds in industry & academia, across many different fields - Market competitive total compensation package - 100% company-paid individual medical, dental, & vision insurance coverage - 401k + company match - Generous vacation & volunteer policy - Free Dropbox space for your friends and family :-) Apply here: https://www.dropbox.com/jobs/listing/533100 Please don't hesitate to reach out to me, even if just to ask a question or clarify something! (Contact info in my profile)