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Dropbox | Machine Learning Engineer | San Francisco, Seattle, New York | Onsite, full-time Dropbox’s Machine Learning group develops high impact solutions that touch millions of people and a lot of data. From images to documents in every language, the Dropbox ML team delivers solutions across a number of domains, from computer vision to natural language processing and more. We leverage the full range of classic & modern ML techniques (whatever a problem calls for!), including supervised/semi-supervised/unsupervised learning, deep learning of all flavors (from CNNs to LSTMs and even newer stuff as well), and online/interactive learning. While some of our algorithms run on mobile devices, others require large clusters on our infrastructure. 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, or deep learning. Responsibilities: - Work within the Machine Learning Team to 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 and many different fields - Market competitive total compensation package - 100% company paid individual medical, dental, & vision insurance coverage - 401k + company match - Wellness Reimbursement - Generous vacation & volunteer policy - Free Dropbox space for your friends and family :-) Apply here: https://www.dropbox.com/jobs/listing/533100