- 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 versatile, 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

📌 Senior Machine Learning Engineer (Toronto)
🏢 Jobtailor
📍 Toronto