Full job description

• Build innovative AI and machine learning products that shape how Australia experiences property.
• Join a collaborative team where learning, experimentation and impact go hand in hand.
• Permanent role based in Sydney

We're REA

With bold and ambitious goals, REA Group (https://www.rea-group.com/about-us/about-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 one of Australia’s Best Workplaces (https://www.rea-group.com/about-us/#our-awards) four times since 2021 — including third place in 2025 — plus Best Workplace for Women in 2023 and Best Workplace in Technology in 2024 and 2025. These listings are testament to every person who helps make REA a great place to work.

Where the team fits in

PropTrack is Australia’s leading source of property insights, digital valuation solutions, and predictive analytics. This role sits within our Data Science & Analytics team, which is responsible for the development, deployment, and operations of internal and customer-facing statistical, machine learning, and AI models. The team collaborates closely with a wide range of groups across the business, including Core Property Data, Mortgage Solutions, Consumer AI, Consumer Product & Experience, Commercial and Mortgage Choice.

What the role is all about

• Design, code, test, and deploy machine learning pipelines using Python, SQL, Infrastructure as Code (IaC), AWS, and GCP.
• Build innovative AI products using Generative AI, LLMs, and traditional machine learning techniques.
• Prototype and spike out Proofs of Concept (POCs) to explore new ideas and evaluate their feasibility in collaboration with senior engineers.
• Support data processes - assist with ad-hoc analysis, automated dashboards, and self-service reporting tools so that everyone gets a good sense of the state our data.
• Analyse and produce data coverage and quality statistics across internal and external data sets to provide a high level of awareness across multiple teams.
• Following agile software development practices such as test-driven development, continuous delivery and pair programming.
• Sharing responsibility for all operational aspects of the software that we build, in support of our “you build it; you run it” philosophy where dev-ops is a part of everyday life.
• Learning –we are constantly learning together, mentoring each other and striving to do things better

Who we’re looking for

Our ideal candidate will have a mix of skills in the areas below. Don’t hesitate to apply even if you don’t tick every item:

• Programming skills in languages such as SQL, Python, R, C#, or similar. While we’re happy for you to learn specific languages on the job, you must have the ability to code.
• A passion for: Machine Learning, Deep Learning / Generative AI, Time Series Analysis & Forecasting, Software Development
• In-depth knowledge of the machine learning model lifecycle.
• Experience with key ML and hosting libraries, such as XGBoost, LightGBM, Scikit-learn, PyTorch, Keras, HF models, Transformers, FastAPI, or Flask.
• Data handling skills, including cleaning, analysing, and interpreting large data sets, and an intuitive sense for identifying when the data is incorrect or inconsistent.
• Basic understanding of cloud service providers, like AWS, Azure, or Google Cloud Platform, including their core services, tools, and general applications in a business context.
• Ability to communicate and collaborate effectively with business stakeholders.
• Bachelors in Computer Science, Mathematics, Statistics, or a similar discipline.

The REA experience

The physical, mental, emotional and financial health of our people is something we’ll never stop caring about. This is a place to learn and grow.

Some of our Perks & Benefits (https://www.rea-group.com/about-us/news-and-insights/blog/how-we-help-our-people/) include:

• A hybrid and flexible approach to working
• Flexible leave options including, birthday leave and purchase additional leave
• Flexible parental leave offering for primary and secondary carers
• Our Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity
• Hackdays so you can bring your big ideas to life
• Our commitment to Diversity, Equity, and Inclusion