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!
Our Culture & Benefits
At MYOB our values are at the heart of everything we do. If you want to work and collaborate where opinions are valued, and your ideas can make a difference, come to a place where Your Work Matters.
Enjoy a flexible, hybrid workplace that brings balance to how you work, all of our centrally located offices come together for a number of in-person celebrations and social events
Set up your home office with a little financial help from us, and take advantage of great corporate discounts and vouchers from top retailers
Benefit from our partnership with Sonder, which supports the wellbeing of our team members
Unlock your potential via in-house training and programs, LinkedIn Learning, conferences and study assistance
Access to a variety of leave options available to support your wellbeing, including up to an additional four weeks of purchased leave, generous parental leave, domestic violence leave, transgender leave, community leave, study leave, and more
Join our communities, built around ‘Wellness’, ‘Belonging’ and the ‘Planet’ where you can make a meaningful contribution
At MYOB, we’re all about embracing difference and backing people to be their true selves. We’re proud to be an equal opportunity employer and big believers that the best hires don’t just fit our culture — they add to it. That means bringing your unique contributions, lived experiences, and fresh perspective to the table.
Love the sound of MYOB and this role but don’t tick every single box in this ad? Apply anyway! Studies show that women and underrepresented groups often hold back if they don’t meet every requirement — but we want to hear from you.
We’re proud to be a Circle Back Initiative Employer and we commit to responding to every applicant.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
