Machine learning/Ai jobs search result for "android"
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Machine Learning Engineer - Blue Apron (May 2019)
New York, New York, United States
Our Technology team is a collection of over 50 talented engineers, analysts, designers, and product managers who have built our web and e-commerce applications, our mobile (iOS and Android) apps, our proprietary Warehouse Management System, and our data platfo...
Innovation Data Science Engineer - McAfee (July 2018)
Santa Clara, California, United States
We are currently seeking Software Engineers to join our Future Innovation & Assessment Team in of the Office of the CTO. This agile and talented team works on the most challenging problems in cybersecurity now and in the future. The team targets Windows, Linux...
Software Engineer, Machine Learning - Google (June 2018)
Mountain View, California, United States
Note: By applying to this position your application is automatically submitted to the following locations: San Francisco, CA, USA; San Bruno, CA, USA; Mountain View, CA, USA
Google's software engineers develop the next-generation technologies that change how ...
Backend Engineer (Algorithms, Rankings and Recommendations) - komoot (June 2018)
Potsdam, Germany (Remote work possible)
Millions of people experience real-life adventures with our apps. We help users all over the world discover the best hiking and biking routes, working to empower everybody to explore more of the great outdoors. And we’re good at what we do: Google and Apple ...
Sr. Machine Learning Engineer for Device and Desktop - Adobe (June 2018)
San Jose/San Francisco, California, United States
Machine Learning is critical part of Adobe’s Product offerings. Adobe Products enable customers to create & manage Digital content, such as assets, composites, 3D, documents etc., and Digital experience & transformations. In Creative Cloud, Creative professi...
Machine Learning Engineer - Pager (June 2018)
New York City, New York, United States
We are looking for a Machine Learning Engineer to build and deploy Machine Learning models to augment our clinicians and provide the best possible care to our patients.
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