Dropbox | Machine Learning Engineer | San Francisco, CA | 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 &amp; 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): <a href="
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 &amp; products, which are used by hundreds of millions of people around the world
- Working with a highly skilled and experienced team (small, but growing fast!) with backgrounds in industry &amp; academia, across many different fields
- Market competitive total compensation package
- 100% company-paid individual medical, dental, &amp; vision insurance coverage
- 401k + company match
- Generous vacation &amp; volunteer policy
- Free Dropbox space for your friends and family :-)
Apply here: <a href="
Please don't hesitate to reach out to me, even if just to ask a question or clarify something! (Contact info in my profile)