Job Description

About Prove (acquired UnifyID)

Prove is the modern platform for continuous identity authentication and is used by over 1,000 enterprises and 500 financial institutions, including 9 of the top 10 U.S. banks. Prove’s cloud solutions, and mobile intelligence-driven APIs can be easily orchestrated to increase Approve Rates to over 90%, enabling companies to authenticate customer identities accurately, effortlessly, and privately while mitigating fraud. Prove’s solutions are available in 195 countries.

For the latest updates from Prove, follow us on LinkedIn.

About the role

We are looking for a seasoned software engineer to join our A+ technical team in designing, building and deploying solutions that span our entire tech stack into production.

UnifyID is building a platform to solve one the world’s biggest unsolved security problems in a completely novel way, requiring us to push the boundaries of what’s possible in production machine learning and on mobile devices. Our data analytics platform can translate mobile sensor data from real-world human activity into a “digital fingerprint” with no conscious action from the user, all in real-time, and in a way that respects user privacy. This is an opportunity to be a part of something truly unique and game-changing.

We are looking for natural-born builders who are comfortable in multiple technical areas, have creative problem-solving skills, a love for coding and technology and a “get stuff done” attitude.

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About UnifyID

UnifyID is now part of Prove. The Next Generation Platform for Identity and Authentication. Hate passwords? So do we. We believe that within five years, passwords will no longer be the predominant method of authentication. We are UnifyID, a company that is building a revolutionary identity platform based on implicit authentication. Our solution allows people to identify themselves in a unique way that is extremely difficult to forge or crack. Best of all, we are doing it in a way that respects user privacy. We are developing a revolutionary new technique for authentication that relies on implicit authentication. These are factors that are unique to you but don’t require any user action, such as your location, your habits, and various signals from the devices you carry and the sensors around you. We use proprietary machine learning algorithms to discover what makes you unique and calculate a confidence level of how likely it is you based on these signals. Latest Announcements - SXSW Security & Privacy Winner (#1 in 50 finalists, 400 applicants): https://www.sxsw.com/news/2017/2017-sxsw-accelerator-winners-pioneering-solutions-to-tomorrows-problems/ - RSA Innovation Sandbox Unanimous 2017 Winner (#1 in 50): https://www.rsaconference.com/press/73 - TechCrunch Disrupt SF Battlefield Runner-Up (#2 in 1000): https://blog.unify.id/2016/09/19/unifyid-disrupts-disrupt/ - Stanford StartX S15 startup: http://startx.com/companies For more: https://unify.id/press.html We're hiring! https://unify.id/careers.html.

Senior Full Stack Engineer

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