PayPal is looking for a Software Engineer to work on challenging problems in developing and scaling our fraud prediction engine. We are developing an analytics platform that lets analysts review, monitor, and identify fraud patterns. At the same time, we also run large-scale machine learning models that detect such anomalous behavior. Our stack is built primarily in JAVA using Cassandra, Spark, and RDBMS.
You’d be a great fit if you have experience working on production distributed systems, and understand the difficulty of building a highly reliable and scalable system. Hands-on experience on front end technologies is desirable. Additional skill sets include familiarity with technologies like Hadoop, MapReduce, Pig, and understanding how to solve problems on data sets that range in size from gigabytes to petabytes.