Ravelin

Senior Machine Learning Engineer leading the architecture, deployment, and optimization of scalable ML systems for real-time fraud detection. The role combines multi-GPU model training, high-throughput data pipelines, MLOps infrastructure, and technical leadership.

Join Ravelin as a Back End Engineer building reliable, high-volume fraud detection software that helps protect online transactions. You’ll work with engineers, data scientists, and product managers while developing microservices and growing your skills in technologies such as Go, Python, and cloud platforms.

Join Ravelin’s Infrastructure Engineering Team to build and operate the reliable, scalable infrastructure behind a high-volume fraud detection platform. You’ll improve developer experience, cloud capabilities, Kubernetes performance, and infrastructure automation in a remote-first environment.

Front End Engineer building intuitive, scalable web interfaces for a high-volume fraud detection platform. You’ll work with React, TypeScript, and modern web technologies to create user-friendly products that help prevent payment fraud.