Senior Machine Learning Engineer

Senior Machine Learning Engineer

You will be joining the Detection team, a team of data scientists and machine learning engineers. The Detection team is responsible for keeping fraud rates low – and clients happy – by continuously training and deploying machine learning models. We aim to make model deployments as easy and error-free as code deployments. Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. The prediction pipelines are under strict SLAs; every prediction must be returned in under 300ms. When models are not performing as expected, it's down to the Detection team to investigate why. The Detection team is core to Ravelin's success. They work in a deeply collaborative partnership with the Data Engineering team to design the data architecture and infrastructure that powers our ML systems.

We are looking for a Senior Machine Learning Engineer to join our Detection team. In this role, you will be setting the technical direction that bridges data science and engineering. You will be responsible for the architecture, scalability, and reliability of the high-performance ML systems that form the core of our fraud detection platform, with a critical focus on optimizing multi-GPU training for our foundational payments models (e.g., Transformers). Beyond just consuming data, you will take a leading role in defining how data is modeled, stored, and served, directly influencing the architecture of our feature generation pipelines and ensuring data quality throughout the ML lifecycle. You'll take strategic ownership of our ML infrastructure, championing platforms and tools that empower Data Scientists to rapidly experiment with novel data inputs and model architectures. Your day-to-day will involve close collaboration with engineers and data scientists to operate and optimize machine learning at scale, while also providing mentorship and guidance to other members of the team.