AI Engineering Manager
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Apr 23, 2026. MYOB scores B on the Alion truth index.
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!