Senior Machine Learning Engineer

• Lead the design and implementation of large-scale, production-grade distributed systems powering AI features for millions of daily users
• Own architecture decisions to keep systems flexible, cost-effective, and robust
• Direct distributed-systems strategy
• Manage technical debt across the AI Products estate
• Champion engineering excellence across the AI Products team
• Mentor junior engineers
• Collaborate across Xero to enhance data usability
• Partner with Applied Scientists to build interfaces and harnesses that transition models from research into production
• Design and build scalable distributed production infrastructure for generative AI features
• Use Python, SQL, Spark, or Dask to handle web-scale data workloads
• Deploy systems to AWS and Kubernetes
• Integrate production-ready Large Language Model technologies into product features
• Reduce toil and deliver data-driven insights for small businesses

Requirements

• 5+ years building and operating production Python (or equivalent language) services at scale
• Strong system design and coding proficiency
• Track record of owning services or pipelines in production
• Operational/on-call responsibility and incident response experience