At a Glance
- Tasks: Lead a team to design and implement innovative AI solutions for small businesses.
- Company: Join MYOB, a leading business management solution empowering businesses across Australia and New Zealand.
- Benefits: Enjoy a collaborative culture, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team that values creativity and innovation.
- Why this job: Shape the future of business technology while making a real impact on small businesses.
- Qualifications: Experience in machine learning frameworks and cloud-native architectures is essential.
The predicted salary is between 135000 - 165000 $ per year.
Overview
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 Saa S 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 Saa S business management platform.
At MYOB, we don’t just deliver software—we empower businesses to succeed. As a Machine Learning Engineer, you’ll
- 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.
The Role
As a foundational member of the AI team, you’ll shape the technical vision, lead a small team of engineers, and together 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 Sage Maker 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., Tensor Flow, Py Torch) 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 (Sage Maker, 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.
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.
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AI Engineering Manager employer: MYOB
MYOB is an exceptional employer located in the vibrant city of Melbourne, offering a dynamic and flexible hybrid work environment that fosters collaboration and innovation. With a strong focus on employee wellbeing and professional development, you will have access to comprehensive training programs and clear pathways for career advancement, all while contributing to impactful projects that enhance the experiences of thousands of SME customers.
