StaffMachineLearningEngineer

The role & impact At staff level, this role is about more than building ; it's about raising the bar for how Xero's AI systems are designed and delivered. As a Staff ML Engineer within the AI Products group, you will set the technical direction for the infrastructure and services that underpin AI products used by millions of customers globally. You will work at the intersection of research and production, making principled decisions about architecture, tooling, and approach that ripple across the team and beyond. This is a role for someone who finds just as much satisfaction in enabling others to do their best work as they do in solving hard technical problems themselves. You will shape how the team approaches scale, reliability, and technical debt and your influence will be felt in both the systems you help build and the people you help grow. The team & how they connect The AI Products group sits within Xero's Data & Science function and brings together ML Engineers and Applied Scientists focused on turning data into products that genuinely improve the day-to-day lives of small business owners. The team is globally distributed and works closely across disciplines - engineering, science, product, and analysis, so that AI capabilities move from research into the hands of customers effectively and responsibly. Collaboration and knowledge sharing are core to how this team operates. The team is currently working on - A Python-based ML infrastructure built to support both research flexibility and production reliability, including tooling across MLFlow, TensorFlow, and PyTorch - Data orchestration pipelines using Airflow and Prefect, with distributed processing workloads running on AWS EMR - Scalable AI services that serve real-time product experiences for millions of Xero users - The next generation of LLM-powered features, exploring how large language models can reduce toil and surface better insights for small businesses Where and how you can work - Solid foundations i