We are a data-driven financial technology company. In our quest to build a better financial world, one of our key goals is to revolutionize the credit system by creating a more holistic, accurate, and democratic alternative to existing credit scoring methods. This is what our Machine Learning Engineers work on. They build—from prototype through to production—the credit and fraud models that decide who we lend to. The Machine Learning Engineer is a new position within the Data Science team that will focus on developing production services to support the models and allow them to make decisions in real time.
WHAT YOU'LL DO
WHAT WE LOOK FOR
With us, we are using technology to re-imagine and re-build core parts of financial infrastructure to enable cheaper, friendlier and more transparent financial products and services that improve lives.
We believe the financial industry is fundamentally broken. Not only is the core infrastructure built with technology from the 1970s, but there are a dwindling number of people who say "I trust my bank to look out for me". It doesn’t have to be this way, and it’s our mission to fix this problem.
We are based in San Francisco; founded by Max Levchin (founding CTO PayPal), Jeff Kaditz (CDO DeNA/ngmoco), and Nathan Gettings (founding CTO of Palantir); and building a team of exceptionally talented people to join us on our mission.
San Jose, San Francisco CA
Phone: 866 816-1615 x 823