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!