What you'll do:
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)

Requirement:
1:5+ years software development experience
2:5+ years experience in Java, Shell, Python development
3:Excellent knowledge of Relational Databases, SQL and ORM 4:technologies (JPA2, Hibernate) is a plus
5:Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus.
6:Experience in the Spring Framework is a plus
7:Experience with test-driven development is a plus