Myob 29d ago

Principal Machine Learning Engineer

Australia·Sydneylead

Machine Learning EngineerDataData & AI

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Quick Summary

Key Responsibilities

Develop and optimise machine learning systems, focusing on innovative solutions for small business accounting challenges. - Deploy at Scale: Create scalable workflows to train, deploy,

Technical Tools

Machine Learning EngineerDataData & AI

We’re a leading business management solution with a core purpose: helping more businesses in Australia and New Zealand start, survive and succeed.

At MYOB, we believe what’s good for one business is good for all business—and for all of us. Whether you support them, work for them, or dream of building your own, when businesses run smoothly, everybody feels it. Owners, employees, customers, suppliers—even families. That’s why we’re here: to give every person in business the tools they need to focus on what really matters and do Big Things—whatever big looks like for them.

And for you? Joining MYOB means being part of that impact. It means using your skills to help businesses thrive, shaping the future of work, and growing alongside the people and communities we support. Because while we’re the business of software, we’re really in the business of people. And that makes MYOB Everyone’s Business.

About the Team

Our Tech team are true heroes. They’ve taken our legacy success and transformed it into an extraordinary SaaS platform to support SME and Enterprise businesses in ways they never knew they needed. By joining the Tech team, you’ll be an integral part of building our all-in-one business management platform.

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, lead a small team of engineers, and togther 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

- Work in a dynamic 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.

What You’ll Bring

- Technical Expertise: Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with LLMs and foundation models (e.g., GPT, Claude, Llama).

- Thought leadership and experience mentoring, coaching, or leading others

- Cloud-Native Experience: Strong knowledge of AWS services (SageMaker, Bedrock, S3) and cloud-based architectures.

- MLOps Skills: Expertise in CI/CD pipelines for ML, model versioning, monitoring, and containerisation (Docker, Kubernetes).

- Customer Focus: Passion for solving real-world challenges for small businesses through innovative AI applications.

- Innovation: Thrives in ambiguous environments, bringing creativity and resilience to build impactful systems from the ground up.

- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.

- Relevant certifications (e.g., AWS Certified Machine Learning – Specialty) are highly desirable.

Ready to Build the Future?

If you’re passionate about AI and want to be part of a team that’s shaping the future of business technology, we’d love to hear from you!