Join an organisation with a thriving culture centred around high performance and care

We're REA

With bold and ambitious goals, REA Group is changing the way the world experiences property. No matter where you're at on your property journey, we're here to help with every step – whether that's finding or financing your next home.

Our people are the key to our success. At the heart of everything we do, is a thriving culture centred around high performance and care. We are purpose driven and collaborative, which drives innovation and our ability to make a real impact. As such, we’re proud to have been named in Australia’s “Top 5” Best Workplaces two years in a row, as well as being recognised as a Best Workplace for Women.

Where the team fits in

The Listing Discovery team is part of the Listings, Visualisation & Content portfolio within the Consumer Product & Experience group. This portfolio focuses on enhancing the search and listing experiences on realestate.com.au, supported by platform technologies that deliver scalable, high‑quality user experiences.

At the heart of how millions of Australians find their next home, this team plays a critical role in shaping one of the most visited and trusted property destinations in the country. The features and decisions driven here have national‑scale reach, influence how people engage with our brand, and deliver meaningful outcomes across the organisation – making a direct and lasting impact on our audience and business success.

What the role is all about

As a Staff Machine Learning Engineer in the Listing Discovery team, you’ll join a cross-functional, multidisciplined team to deliver user-facing experiences and solve real needs for millions of users. You will lead the development of real-time, production-grade AI systems using Generative AI, Large Language Models and Agentic AI architectures. These solutions will power smart recommendations and contextual listing insights, enabling personalised and engaging experiences for millions of users. You’ll also influence technical direction and mentor engineers in the team to ensure scalability, reliability and innovation in our core experience.

You’ll work closely with teams across Consumer Experience, Data Services and PropTrack, contributing to REA’s broader AI strategy. Your work will help operationalise cutting-edge research and surface meaningful, context-aware intelligence that empowers users throughout their property journey.

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