Machine Learning Engineer

at  MYOB

We’re MYOB, a business management platform designed to unleash the potential of businesses across Australia and New Zealand! As the #originalstartup, our roots are in finance and accounting software, but today we are so much more. We help our Aussie and Kiwi customers unleash their full potential, giving them the tools to Start, Survive and Succeed: all in the one place.
We’re always on the hunt for those who bring a different perspective, diversity of thought and the drive to make our culture even better. Take your career to a new dimension at MYOB.

BE AT THE FOREFRONT OF AI INNOVATION AT MYOB

Are you a visionary engineer ready to build cutting-edge AI solutions that redefine how businesses operate? At MYOB, we empower small businesses with transformative technology. We’re looking for a Machine Learning Engineer to design, build, and scale AI-driven applications for our SaaS business management platform.
At MYOB, we don’t just deliver software—we empower businesses to succeed. As a Machine Learning Engineer, you’ll:
Build innovative AI systems that make a real-world difference for small businesses, collaborate with a passionate team committed to pushing the boundaries of AI while enjoying a culture of curiosity, authenticity, and collaboration, where every idea is valued.

THE ROLE

As a foundational member of the AI team, you’ll shape the technical vision and build systems that directly impact our customers’ success. This is a unique opportunity to:

• Design and implement machine learning systems from the ground up, with a focus on large language models (LLMs) and foundation models tailored to small business needs.
• Develop and deploy AI-powered features for automated document understanding, financial forecasting, and conversational interfaces.
• Optimise AI systems for scalability, safety, and reliability on AWS infrastructure.
• Work in a dynamic, zero-to-one environment, bringing ideas from concept to production.

WHAT YOU’LL DO

• Build from Scratch: Develop and optimise machine learning systems, focusing on innovative solutions for small business accounting challenges.
• Deploy at Scale: Create scalable workflows to train, deploy, and monitor machine learning models on AWS services like SageMaker and Bedrock.
• End-to-End Ownership: Lead projects from ideation to production, implementing MLOps best practices for robust and efficient solutions.
• Collaborate and Innovate: Partner with product managers, engineers, and stakeholders to align technical solutions with customer and business goals.