Senior Machine Learning Engineer - Xero

Job Title: Senior Machine Learning Engineer
Job Location: Toronto, CA
Job Listing URL: https://jobs.lever.co/xero/17eecaf9-67cf-4c1c-8ca1-65df95025d13
Job Description: Our Purpose
At Xero, we’re here to help you supercharge your business. We do this by automating routine tasks, surfacing actionable insights and connecting businesses with the right data, advisors and apps. When that happens, we’re not only making life better for small business, we’ll be building a stronger economy that can change the world.

About The Team

The AI Products group exists to collaboratively build products that use AI and ML to reduce toil and deliver the right insight at the right time. Working within the Data & Science team, you will join a diverse, globally distributed team of scientists, engineers, product managers, and analysts who help Xero turn data into beautiful, insightful products.

ML engineers design and build the infrastructure and services that power AI products that serve millions of customers every day. They also work closely with Applied Scientists through the research and development process to create harnesses and interfaces to safely take models from research to production environments. As a Senior ML Engineer, you will lead delivery programs that push the boundaries of what's possible with today's technology.
About The Role
Lead the design of our AI research and production infrastructure and services, ensuring that our services scale while preserving flexibility for research teams
Own our strategy for managing the growth rate of technical debt and costs across our stack
Make sure we're solving the right problems with the right methods
Share knowledge with colleagues and lift the bar for the AI Products team
Mentor and develop members of your team, increasing our capability to build and operate intelligent, data-driven products and services in our core customer offerings
Work with teams across Xero to improve the quality and usability of data
What you will bring with you
Strong coding and system design skills in Python or another language used in web scale data and AI applications.
SQL proficiency with a strong grasp of distributed processing principles, including data and machine learning (e.g. Spark, Dask).
Exceptional written and verbal communication skills, enabling effective explanation of technical concepts to both technical and business audiences.
Proven ability to establish practical standards and mentor junior machine learning engineers.
Eagerness to learn and apply emerging Large Language Model (LLM) technologies to product innovation.
Experience with established AI frameworks (e.g., MLFlow, Tensorflow, PyTorch), data orchestration tools (e.g., Airflow, Prefect), and an understanding of how to manage distributed data processing workloads (e.g., AWS EMR) are highly valued.

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