Sift

101 - 250 Employees
51 - 100 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

Interested in this company?
Skip straight to final-round interviews by applying through Triplebyte.

Apply