MLEngineeringIntern

## Description Location:  Vancouver, BC (in person)  Duration: ~ 6 months (~July 2026 – December 2026)  Full Time: M-F, 40 hr/ week  Salary Range: $50,000 - $62,000 (Depending on prior ML experience, degree(s) obtained) Team: ML Products      GeoComply's detection systems catch location spoofing, identity fraud, suspicious device patterns, and more. We collect a LOT of data, and the ML Products team's purpose is to transform it into production pipelines that run reliably, at scale, across clients.   We're hiring an ML Engineering Intern to join our ML Products team that will help us build and maintain these systems. You'll take validated detection logic and turn it into production batch and streaming pipelines on Databricks. You'll write the data processing, feature engineering, tests, and monitoring. Our team runs on internal automation tools that handle deployment, signal investigation, monitoring, and ticket coordination. You'll design and extend these tools, turning one-off scripts into reusable skills that compound across the whole team. You'll also spearhead the development of our internal “Governance Hub,” a system that tracks models, shipping checklists, and governance artifacts as models move through review and into production. By the end of your internship, you'll have shipped code that runs against real fraud signals every day. ## What You'll Actually Do (Key Responsibilities) Convert validated detection code into well-tested production pipelines (Python, PySpark, Databricks). Build and ship batch and streaming pipelines that compute risk intelligence signals. Design testing and validation frameworks that catch problems before they reach production. Propose, design, and extend internal AI-assisted skills that automate recurring engineering and operational work for the team: deployment automation, signal investigation, channel monitoring, and ticket coordination. This is high-leverage internal work that compounds across the rest of the team. Support multi-