We’re hipages - Australia’s #1 digital platform connecting homeowners with trusted tradies. As an ASX-listed tech company, we're on a mission to transform the trade industry and improve lives. With teams across Australia, New Zealand, the Philippines and Vietnam, we work as one team with a shared purpose.

We’re proud to be a certified Great Place to Work and WORK180’s #1 Employer for Women. At hipages, you’ll find real impact, career growth and a workplace where everyone belongs.

About the role:

As a Machine Learning Engineer, you will help shape the future of our marketplace. You’ll lead ML projects like demand forecasting, dynamic pricing, and recommendation engines, delivering real impact across the business.

Working with a high-performing data team, you'll design and deploy end-to-end data products and help build our internal ML capabilities. This is your chance to own core IP, influence product experiences, and drive strategic decisions.

Why join our Engineering team?

• Hybrid working model - 50% work from home
• In-house Talent Development team to prioritise personal and career growth
• Competitive salary, benefits and perks, plus equity via our Employee Share Program
• Cross-functional collaboration
• Hands-on learning opportunities and workshops for continuous upskilling

How you will add value:

• Design, code, experiment, and implement models and algorithms that enhance the customer experience, optimise supply and demand, improve business outcomes, and expand product capabilities.
• Identify new commercial opportunities for advanced analytics across various domains within the organisation, leveraging AI/ML to drive growth.
• Build, shape, and deliver data products and machine learning platform capabilities across the entire ML and product lifecycle, from model training to model serving, monitoring, observability, and feature store.
• Apply engineering and product best practices to apply agile and iterative approaches to releasing data products and platform capabilities.
• Contribute to fostering an open, positive atmosphere within the team, promoting collaboration, learning, and growth.

About you:

• Good understanding of AI/ML/DL methodologies and statistics
• Advanced programming language experience in Python (including pytorch)
• Advanced level of SQL or equivalent
• Experience deploying and maintaining data science models
• Experience with cloud technologies (AWS, GCP, Azure) and Data Platform infrastructure (e.g. Databricks or Snowflake)
• Experience with implementing and/or optimising MLOps practices 
• Experience with building deep learning models in PyTorch

Life at hipages: 

We’re more than just a workplace - we’re a place where you can be yourself, do great work and grow your career. Recognised as a Great Place to Work, our inclusive, supportive culture helps people thrive. You’ll use the best tools and tech, with real impact on our products and customers. We invest in your development and lead with coaching, not micromanagement – it’s why 85% of our team say their leader is great.

And there’s more:

• Diverse, collaborative teams that love solving problems
• Agile squads, hackathons, off-sites and roadshows
• Extra leave for birthdays, volunteering, and more
• Healthy snacks, continental breakfast and fresh fruit
• Sydney CBD office near Town Hall and Gadigal Stations
• Tailored growth support, mentoring and stretch projects
• A vibrant social scene - we work hard and have fun doing it

We prioritise Diversity:

At hipages, innovation and collaboration thrive in diverse and inclusive teams. We don’t expect you to know everything - we care more about who you are as a person, a team member, and a leader.

We’re proud to be endorsed by WORK180 for supporting women’s careers and we value diversity across culture, age, gender identity and sexual orientation.

Research shows that men often apply when they meet just 60% of the criteria, while women and minority groups wait until they tick every box. If you think you’d be a great fit - even if you don’t meet every requirement- we’d love to hear from you.

We’re also a Circle Back Initiative Employer, which means we commit to responding to every applicant.

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