Senior Engineer, ML Systems (AI Products)
About this role
In Sydney, Australia, the Senior Engineer, ML Systems (AI Products) position at Xero involves leading the design and implementation of large-scale AI infrastructure. This full-time opportunity suits an experienced machine learning systems professional seeking to influence AI-driven products used by millions of daily users.
Role Overview
This position sits within the AI Products group, part of the broader Data & Science division at Xero. The professional chosen for this role will direct strategies for distributed systems, manage technical debt, and mentor junior colleagues. Team members operate under a flexible hybrid working model that blends office collaboration at the Sydney location with remote work autonomy.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Xero provides a flexible hybrid working model designed to blend office collaboration with remote work autonomy. Employees have access to modern office spaces located at 45 Clarence Street in Sydney, alongside collaborative boost days. The company hires based on skills, perspective, and team culture enhancement.
How to Apply
Interested candidates should visit the official Xero careers page to submit an application for this role.
Skills and tech stack
Questions candidates ask
Where is this job located?
This position is located in Sydney, Australia at 45 Clarence Street, with a flexible hybrid working model.
What team will I join?
The role is part of the AI Products group within the Data & Science division.
What technologies and tools are used in this role?
The tech stack includes Python, SQL, Spark, Dask, Airflow, Prefect, AWS EMR, MLFlow, TensorFlow, PyTorch, and Large Language Model technologies.
What are the primary responsibilities regarding team members?
Responsibilities include championing engineering excellence, mentoring junior engineers, establishing engineering standards, and collaborating with Applied Scientists.
What type of working model does Xero offer?
Xero offers a flexible hybrid working model blending office collaboration with remote work autonomy, including office days and collaborative boost days.