Sift
251 - 500 employees
101 - 250 engineers
$100m+ funding
Sift Science helps online businesses leverage large-scale, realtime machine learning to effectively fight fraud -- e.g. chargebacks, fake accounts, referral fraud, account takeovers.
Engineering at Sift
Technical Challenges
1) Building an online, large-scale machine learning system that can handle thousands of events per second (and growing)
2) Building a user interface that effectively connects human intelligence and machine intelligence
3) Evolving our system into a platform for predicting other behaviors
Tech stack
React JS
Hadoop
HBase
Java
Javascript
Chef
Amazon AWS
External Links
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