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.
Be at the Forefront of AI Innovation at MYOB
Are you a forward-thinking Machine Learning Engineer prepared to develop powerful AI solutions that redefine how businesses operate? At MYOB, we empower small businesses with transformative technology.
Be part of our Data & AI Team to develop and broaden applications with MYOB’s product ecosystem and data to compose AI-powered experiences for SMEs and Enterprises, enhancing efficiency and confidence.
The Role
As a foundational member of the AI team, you’ll shape the technical vision and 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 on AWS infrastructure.
- Work in a dynamic, zero-to-one 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 guidelines for robust and efficient solutions.
- Collaborate and Innovate: Work with product managers, engineers, and collaborators 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).
- Cloud-Native Experience: Solid understanding 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: Excels in uncertain settings, showcasing ingenuity and perseverance to construct influential systems from scratch.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
Be at the Forefront of AI Innovation at MYOBAre you a forward-thinking Machine Learning Engineer prepared to develop powerful AI solutions that redefine how businesses operate? At MYOB, we empower small businesses with transformative technology.Be part of our Data & AI Team to develop and broaden applications with MYOB’s product ecosystem and data to compose AI-powered experiences for SMEs and Enterprises, enhancing efficiency and confidence.The RoleAs a foundational member of the AI team, you’ll shape the technical vision and 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 on AWS infrastructure.- Work in a dynamic, zero-to-one 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 guidelines for robust and efficient solutions.- Collaborate and Innovate: Work with product managers, engineers, and collaborators 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).- Cloud-Native Experience: Solid understanding 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: Excels in uncertain settings, showcasing ingenuity and perseverance to construct influential systems from scratch.- 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.
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.
Estas cookies son necesarias para que el sitio web funcione y no se pueden desactivar en nuestros sistemas. Puede configurar su navegador para bloquear estas cookies, pero entonces algunas partes del sitio web podrían no funcionar.
Seguridad
Experiencia de usuario
Cookies orientadas al público objetivo
Estas cookies son instaladas a través de nuestro sitio web por nuestros socios publicitarios. Estas empresas pueden utilizarlas para elaborar un perfil de sus intereses y mostrarle publicidad relevante en otros lugares.
Google Analytics
Anuncios Google
Utilizamos cookies
🍪
Nuestro sitio web utiliza cookies y tecnologías similares para personalizar el contenido, optimizar la experiencia del usuario e indvidualizar y evaluar la publicidad. Al hacer clic en Aceptar o activar una opción en la configuración de cookies, usted acepta esto.
Los mejores empleos remotos por correo electrónico
¡Únete a más de 5.000 personas que reciben alertas semanales con empleos remotos!