Associate Machine Learning Engineer

REA; City of Melbourne; Hybrid; AUD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid and flexible working

Flexible leave options

Flexible parental leave

Volunteering leave & matched donations

Hackdays

Job summary

REA Group in Melbourne (Richmond) is seeking an Associate Machine Learning Engineer to help build intelligent, personalised property experiences. You’ll work on recommender systems and predictive models powering REA’s web and app platforms, using deep learning, collaborative filtering and content-based methods.

You’ll collaborate with senior ML engineers, contribute to model training, evaluation and deployment, and help maintain AI pipelines across cloud environments, while continuing to grow

Qualifications

• A degree in Computer Science, Data Science, Mathematics, Engineering or a related field.
• Hands-on experience with machine learning, data science or software development.
• Familiarity with Python and ML libraries such as Pandas, NumPy, Scikit-learn or PyTorch.
• Understanding of ML concepts like regression, classification or recommender systems.

Responsibilities

• Design and develop machine learning solutions for REA.
• Build and evaluate ML models including deep learning and recommender systems.
• Develop and deploy ML pipelines for batch and real-time use cases.
• Work with Python, Docker, and cloud platforms (GCP or AWS).
• Collaborate with senior engineers and data scientists to move ideas to production.
• Learn and grow ML skills through hands-on practice and mentoring.

Skills

Python

Machine learning

Data Science

Communication

Education

Degree in Computer Science/Data Science/Mathematics/Engineering

Tools

Pandas

NumPy

Scikit-learn

PyTorch

Job description

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 undefined

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.

Join our Talent Neighbourhood

Keen to be part of REA but didn’t find a perfect match with this opportunity? Perhaps the timing isn’t right? You should join our Talent Neighbourhood!

#LI-HYBRID We are an Australian-based digital media company with a passion for real estate. Our leading brand is Australia’s biggest property resource, realestate.com.au. We also operate the number one commercial property site, realcommercial.com.au, and have businesses that help property developers and other brands advertise with us. Whilst we live in Australia, we’ve also got ventures in Asia and North America, and have the vision of expanding our footprint further. Everything we do is driven by our purpose to ‘change the way the world experiences property’ – from product innovation to our international investments.