Information  
Web:
http://www.skytree.net/company/careers/

Employees:
20-100

Founded:
2012

Industry:
Machine Learning/Computer Software

About

Skytree® – The Machine Learning Company® is disrupting the Advanced Analytics market with a Machine Learning platform that gives organizations the power to discover deep analytic insights, predict future trends, make recommendations and reveal untapped markets and customers. Predictive Analytics is quickly becoming a must-have technology in the age of Big Data, and Skytree is at the forefront with enterprise-grade Machine Learning. Skytree's flagship product – Skytree Server – is the only general purpose scalable Machine Learning system on the market, built for the highest accuracy at unprecedented speed and scale.

Skytree, Inc. is a fast growing company that has built the first general-purpose industrial-scale Machine Learning platform. Skytree’s software, which is up to 10,000x faster than existing solutions, is based on two decades of practical experience with massive data, and draws on the up-to-the-moment academic research. Skytree’s software solves mission-critical data analysis problems across organizations, and our customers span industries from medicine and finance to social media and government.

Skytree’s mission is to lead the market with the most powerful Machine Learning platform available. In order to further that goal we’re gathering the brightest minds in Machine Learning, high-performance computing, computer systems and data visualization. Skytree’s team of academic experts includes Professors Michael Jordan (Berkeley), David Patterson (Berkeley), Pat Hanrahan (Stanford), and James Demmel (Berkeley), as well as a number of other top researchers in key areas. If you’re a passionate individual who enjoys academic-level technical sophistication, the highest standard of performance and production quality, and a different technical challenge every week, get in touch with us!

Location

Skytree, Inc.'s' Location
Skytree, Inc.
1731 Technology Drive Suite 700 San Jose, CA 95110