Machine learning/Ai jobs search result for "google cloud"

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Wappier Data Scientist - Principal Investigator - Wappier   (September 2018)
Athens, Greece
As a Data Scientist at wappier you will develop & investigate hypotheses, structure experiments, build mathematical models and develop machine learning methods/algorithms that will help wappier products for mobile game publishers become a global success story....
Insight Engines Natural Language Processing & Search Engineer - Insight Engines   (September 2018)
San Francisco, California, United States
As an integral part of our technology team, you will work on the core of our natural language query engine. This means you’ll help build state of the art technologies using semantic parsing, question answering, and query understanding. You’ll get to play m...
Chicory Senior Software Engineer - Chicory   (September 2018)
NYC, New York, United States
Chicory is looking for a Senior Software Engineer to join our ranks. The ideal candidate can handle full-stack development, but specifically has experience with large-scale software systems design. They should be able to design and implement systems that are e...
Fathom Health Software Engineer, Machine Learning - Fathom Health   (July 2018)
Toronto, Canada
Are you passionate about machine learning and looking for an opportunity to make an impact in healthcare? Fathom is on a mission to understand and structure the world’s medical data, starting by making sense of the terabytes of clinician notes contained wit...
Taboola Sr. Data Scientist - Taboola   (July 2018)
Los Angeles, California, United States
Join Taboola's Big Data team as a Sr. Data Scientist! Read something interesting online to day? There's a good chance it reached you because of our technology. Taboola is the world's leading content discovery platform, serving 360B recommendations to over 1B...
OptumSoft Machine Learning Software Engineer - OptumSoft   (June 2018)
Bangalore, India
What you will do : Help translate business requirements into concretely framed technical problems. Survey literature for industrial monitoring and analytics and marry ideas therein with modern ML techniques. Build and integrate ML modules to scalable, high ...
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