Machine Learning Engineer

Melbourne, Australia

MYOB

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We’re MYOB, a business management platform designed to unleash the potential of businesses across Australia and New Zealand! As the #originalstartup, our roots are in finance and accounting software, but today we are so much more. We help our Aussie and Kiwi customers unleash their full potential, giving them the tools to Start, Survive and Succeed: all in the one place. We’re always on the hunt for those who bring a different perspective, diversity of thought and the drive to make our culture even better. Take your career to a new dimension at MYOB. 
About the TeamOur 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 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 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). - 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 Our values have stood the test of time. 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.  🎥 See what it's like to work at MYOB and what we're all about.
🎯 Do your best work in a flexible work environment, right down to financial assistance to set up your home office…it’s called Flexperience, and it’s designed by you and your team! 🎯 Our partnership with Smiling Mind helps support the wellbeing of our team members and customers 🎯 Drive your own learning via conferences, in-house training, LinkedIn Learning, study assistance and a strong focus on leaders creating a learning environment 🎯 A multitude of leave options including up to an additional four weeks of purchased leave, generous parental leave, domestic violence leave, transgender leave, volunteer leave, study leave, plus more! 🎯 Communities built around ‘Wellness’, ‘Belonging’ and the ‘Planet’ where you can make a meaningful contribution 🎯 Access to best-in-class discounts and vouchers from leading retailers, and a lot more. 
We are proud to be a Circle Back Initiative Employer and we commit to responding to every applicant.  
MYOB are an equal opportunity employer and we champion diversity. Don’t meet every single requirement of this role? Still apply!  Research tells us that that women and underrepresented groups are less likely to apply unless they meet every single requirement.  At MYOB we believe that the right hire is someone who makes an addition to our culture, rather than someone who fits in and conforms to our status quo. Moving to ‘Culture Add’ means adding team members who not only value MYOBs standards and workplace culture, but also bring an aspect of diversity that positively contributes to MYOB.  So, if you’re excited about this role, or about MYOB, we’d still love to hear from you!
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS CI/CD Claude Computer Science Docker Finance GPT Kubernetes LLaMA LLMs Machine Learning ML models MLOps Pipelines PyTorch Research SageMaker TensorFlow

Perks/benefits: Career development Conferences Home office stipend Parental leave Startup environment Wellness

Region: Asia/Pacific
Country: Australia

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