Senior Machine Learning Engineer

📋 Description Lead the design and implementation of large-scale, production-grade distributed systems powering AI Own architecture decisions, direct strategy for distributed systems, and manage technical debt Champion engineering excellence, mentor junior engineers, and collaborate across Xero to enhance Apply modern AI research (including Large Language Models) once engineered into reliable Design and build highly scalable, distributed production infrastructure to support generative AI Use tools like Python, SQL, and distributed processing engines (Spark, Dask) to handle web-scale 🎯 Requirements 5+ years building and operating production Python (or equivalent) services at scale Track record of owning services/pipelines in production including on-call responsibility and Deep understanding of distributed processing principles (Spark, Dask, or similar) with strong SQL Experience integrating ML models or LLM-based features into production systems Familiarity with ML tooling (MLFlow, TensorFlow, PyTorch) and data orchestration tools (Airflow Nice to have: prior experience applying or fine-tuning LLMs in a product context 🎁 Benefits Annual bonus and equity (RSU) programs World-class health, wellness, and retirement programs Xero Perks including Wellbeing days, generous leave, and professional development budgets