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