Software Engineer - Machine Learning

REA Group Ltd.; Council of the City of Sydney; Hybrid; AUD 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid work model

Birthday leave

Parental leave options

Volunteer & community support

Job summary

REA Group Ltd. is seeking a data scientist who will design and deploy ML pipelines, build AI products, and collaborate with senior engineers to explore new ideas.

You will work within REA's Data Science & Analytics team to deliver robust data solutions and insights across property platforms. Ideal candidates will have strong Python/SQL skills, ML lifecycle knowledge, and experience with modern ML libraries.

Qualifications

• Experience designing ML pipelines and deploying models in production environments.
• Strong coding skills with Python and SQL; able to translate business needs into ML solutions.
• Familiarity with ML lifecycle, evaluation metrics, and model monitoring.

Responsibilities

• Design, code, test, and deploy ML pipelines using Python, SQL, IaC, AWS, and GCP.
• Build AI products using Generative AI, LLMs, and traditional ML techniques.
• Prototype PoCs to explore ideas with senior engineers for feasibility.

Skills

SQL

Python

R

C#

Time Series Forecasting

Stakeholder Communication

Education

Bachelor's degree in Computer Science, Mathematics, Statistics, or similar

Tools

XGBoost

LightGBM

Scikit-learn

PyTorch

Keras

Transformers

FastAPI

Flask

Job description

About REA

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 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 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.

Responsibilities

• 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

Candidate Profile

Our ideal candidate will have a mix of skills in the areas below.

• 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.

Benefits & Perks

• 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

Commitment to Diversity, Equity & 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.

Company Overview

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.