Software Engineer - Machine Learning

REA Group; Sydney; Hybrid; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Birthday leave and flexible leave

Parental leave for primary & secondary

Volunteer leave & community grants

Hackdays

Job summary

REA Group, based in Sydney, is building innovative AI and machine learning products for Australia’s property experience. The PropTrack team focuses on ML pipelines, predictive analytics, and customer-facing AI solutions, working in a collaborative, learning-driven environment.

You will design and deploy ML models, prototype PoCs, and support data processes while embracing agile practices and a strong DevOps culture. Hybrid work in Sydney is available.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
• Strong Python and SQL skills with practical ML project experience.
• Experience building end-to-end ML pipelines and deploying models.

Responsibilities

• Design, code, test, and deploy ML pipelines using Python, SQL, IaC, AWS and GCP.
• Build AI products with Generative AI, LLMs, and ML techniques.
• Prototype PoCs to explore ideas with senior engineers.
• Support data processes with dashboards and self-service reporting.
• Analyze data quality across internal and external datasets.
• Follow agile practices and run-it ethos with dev-ops integration.
• Learn and mentor others in a collaborative environment.

Skills

SQL

Python

R

C#

Machine Learning

Deep Learning

Time Series Analysis

Forecasting

Software Development

Stakeholder Communication

Education

Bachelor in Computer Science, Mathematics, Statistics or related discipline

Tools

XGBoost

LightGBM

Scikit-learn

PyTorch

Keras

Transformers

FastAPI

Flask

HF models

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 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.

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 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.