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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)




Just as a point of clarification, I think you should remove Seattle and New York from the locations on the post if the position(s) you're advertising aren't in Seattle or New York. For those of us outside the Bay Area (and with no intention of moving to the Bay Area), posts like this mess up our search filters.




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