Join a collaborative team building intelligent features for our customer's key experiences!

Learn and grow your career in machine learning!

Permanent role based in Richmond

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 one of Australia's Best Workplaces 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

As an Associate Machine Learning Engineer in the AI Experience team (part of the Consumer Experience division), you'll help build intelligent features that make property discovery more personalised and relevant for our users. You'll work on recommendation and prediction models that power key experiences across REA's web and app platforms. This includes using state-of-the-art recommender systems such as deep learning models, collaborative filtering and content-based methods, as well as supporting the development of decision models using techniques like regression and decision trees.

Working alongside senior machine learning engineers and data scientists, you'll contribute to model training, evaluation and deployment. You'll also help maintain and improve AI pipelines that connect with systems like recommendation engines and user decision flows. This is a great opportunity to deepen your machine learning skills while contributing to impactful products that reach millions of users every day.

Day to day of the job

• Contribute to the design and development of machine learning solutions for REA.
• Apply new AI/ML technologies and techniques in products used by over 12 million users.
• Build and maintain recommendation and prediction models using techniques like deep learning, collaborative filtering, regression and decision trees.
• Help develop and deploy ML pipelines for both batch and real-time use cases.
• Work with cloud-based tools and frameworks such as Python, Docker, and GCP or AWS.
• Participate in model evaluation and monitoring.
• Collaborate with senior machine learning engineers and data scientists to take ideas from prototype to production.
• Work closely with product teams to support AI-powered product features.
• Continue to learn and grow your ML skills with hands-on experience and mentoring.

Who we're looking for

• A degree in Computer Science, Data Science, Mathematics, Engineering or a related field.
• Some hands-on experience with machine learning, data science or software development projects (through internships, coursework or early professional experience).
• Familiarity with Python and key ML libraries such as Pandas, NumPy, Scikit-learn or PyTorch.
• Understanding of machine learning concepts such as regression, classification, or recommender systems.
• Interest in applying ML to real-world problems like personalised recommendations or user decision models.
• Good communication skills and a willingness to learn and collaborate with others.
• Curiosity, problem-solving mindset and enthusiasm for AI technologies

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 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

We are committed to providing a working environment that embraces and values diversity, equity and inclusion. We believe teams with diverse ideas and experiences are more creative, more effective and fuel disruptive thinking. If you've got the skills, dedication and enthusiasm to learn but don't necessarily meet every single point on the job description, please still get in touch.

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