Software Engineer Internship, DataVisor

• This position is ideal for those CS major students who would like to work on fraud detection and machine learning which could lead to a full-time position after graduation
• BS/MS students majoring in Computer Science, Engineering or a related subject, ideally in his/her last school year
• Proven working experience in Java, Shell, Python development
• Excellent knowledge of Relational Databases, SQL, and ORM technologies (JPA2, Hibernate) is a plus
• Experience in Cassandra, HBase, Flink, Spark, or Kafka is a plus
• Experience in the Spring Framework is a plus
• Experience with test-driven development is a plus

• As a Platform Software Engineer Intern, you will gain hands-on experience in building a next-generation machine learning platform that integrates our proprietary unsupervised machine learning (UML) technology with various supervised machine learning (SML) algorithms
• Our team focuses on enhancing core detection algorithms and automating the training process to stay ahead of increasingly sophisticated fraud attacks
• The Platform Team is responsible for developing the architecture that enables real-time UML, a critical component in fraud detection
• We are seeking curious, creative, and eager-to-learn engineers to help expand our advanced streaming and database systems, which power our detection capabilities
• 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)

• Stock Options
• Commuter Passes
• Paid Time Off
• Catered Lunch and Dinner
• Team and Company Outings

Total funding: $94.5m

As the use of online shopping and banking continues to rise, so too does the opportunity for fraud, with criminals exploiting the gaps in defences that come with an increasingly novel digital environment. DataVisor provides the leading fraud detection solution that leverages machine learning to identify threats, to overcome the security gap caused by the speed at which today’s digital fraudsters evolve.