Senior Machine Learning / ML Engineer

Job description

The role / impact

You will lead the design and implementation of AI research and production infrastructure at scale, ensuring our systems remain flexible, cost-effective, and robust. By managing technical debt and directing strategies for distributed systems, your technical decisions will directly influence products that serve millions of daily users.

Beyond architecture, your impact lies in lifting the technical capability of the entire AI Products team. You will champion engineering excellence, mentor junior engineers, and collaborate across Xero to enhance data usability, ensuring we solve complex technical challenges with the right methods.

The team / how they connect

You will join the AI Products group, a diverse, globally distributed team of scientists, engineers, product managers, and analysts within our broader Data & Science division. Machine Learning Engineers partner closely with Applied Scientists during the research phase to build interfaces and harnesses that safely transition models from research to production. Together, this collaborative team reduces toil and delivers beautiful, data-driven insights for small businesses.

The team is currently working on

• Refactoring complex systems and designing highly scalable, distributed production infrastructure to support next-generation AI features

• Harnessing tools like Python, SQL, and distributed processing engines such as Spark or Dask to handle web-scale data workloads

  This is an excerpt. Read the full job description on Xero careers →