Senior Machine Learning Engineer - Platform Team

This position involves designing and constructing core machine learning infrastructure that supports the entire model lifecycle, from initial feature creation to final deployment. The primary focus is on streamlining workflows to reduce the time required to move models into production, thereby accelerating critical business functions like fraud detection. You will work to simplify how data scientists build features by introducing better abstractions that reduce dependence on complex processing workflows. A key part of the job is standardizing the developer experience by replacing fragmented, ad-hoc solutions with reliable, self-service components. You will collaborate closely with data scientists to identify their specific pain points and translate those insights into tangible platform improvements. Additionally, you are expected to mentor these users on best practices to drive wider adoption of the new tools. The role requires more than six years of experience building production-grade machine learning infrastructure, including feature stores, training frameworks, and orchestration systems. The advert does not specify any particular programming languages or software tools beyond these general infrastructure categories. There are no stated language requirements for this position. The working arrangement is described as office-first, based in Berlin, Germany. This role suits candidates who enjoy transforming messy, duplicated tooling into reliable systems and who want to shape infrastructure that impacts nearly every model the company runs.