Software Engineer Internship - Remote

Overview

As a platform engineer intern, you will learn how to build a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process.

In Short

• 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 realtime streaming technologies (e.g. Kafka, Flink)

Requirements

• Major in Computer Science or Computer Engineering
• Eager to learn about fraud detection and machine learning
• Hands-on experience in building machine learning systems
• Familiarity with big data technologies
• Ability to work collaboratively in a team environment

Benefits

• Hands-on experience in a leading AI-powered Fraud and Risk Platform
• Opportunity to work with world-class experts in the field
• Potential for a full-time position after graduation
• Collaborative and positive work culture
• Exposure to cutting-edge technologies in machine learning and big data