Software Engineer

Summary

Join our team of platform engineers to build a next-generation machine learning platform that incorporates unsupervised machine learning (UML) and supervised machine learning (SML) algorithms. We're looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable real-time detection capabilities.

Responsibilities

• Design and build machine learning systems that process data sets from the world’s largest consumer services
• Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters
• Build and optimize systems, tools, and validation strategies to support new features
• Help design/build distributed real-time systems and features
• Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines
• Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink)