Engineering Interns contribute to software features across the full development lifecycle, including design, development, testing, deployment, monitoring, and improvement. They work with APIs, databases, streams, and queues while participating in stand-ups and peer-led teams. The role provides mentoring and hands-on experience with Signifyd’s technology stack. Candidates should be pursuing a bachelor’s degree in computer science or software engineering, show interest in software development and machine learning, and be curious, collaborative, and willing to learn.

Build and deploy production machine learning models and fraud decisioning tools for e-commerce transactions. Partner with business teams to improve decisioning performance, automate manual processes, run experiments, and balance model complexity with performance. Write and review Python and SQL code, work with distributed data pipelines using Spark, Databricks, and GCP, communicate findings to technical and business audiences, and participate in an on-call weekend rotation.