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About the Role

Design and deliver delightful, reliable AI/ML products that help millions of people experience property in new ways.

Responsibilities

Design, implement, test, evaluate, deploy and monitor AI/ML products, pipelines and services using Python, modern ML frameworks such as PyTorch, AWS and cloud-native technologies.
Apply engineering best practices including test automation, CI/CD, refactoring, observability, Docker and infrastructure as code to build and operate reliable AI/ML products.
Develop, test and maintain real-time and batch data engineering pipelines using technologies such as Airflow, SQL, BigQuery and Kafka.
Establish automated evaluation and monitoring systems to track AI product and feature performance, detect drift and ensure quality at scale.
Implement and optimise ML models for ranking, relevance and retrieval using embeddings, transformers and LLMs in production environments.
Measure and optimise third-party models through appropriate evaluation and optimisation approaches.
Own model lifecycle management, including versioning, deployment and CI/CD integration for reproducible experimentation and delivery.
Contribute to discussions, design and delivery of ML platform capabilities that accelerate delivery across teams.

Requirements

Proficiency in machine learning, ML engineering, MLOps, software engineering and LLMs in a commercial production environment.
Demonstrated knowledge and application of machine learning across training, evaluation, inference and model monitoring, using both structured and unstructured data such as image and text.
Proficiency in Python, SQL and other relevant ML technologies.
The ability to design and create high-quality, maintainable software.
The ability to identify the most appropriate machine learning approaches and tools for a commercial application or opportunity.
Clear written and verbal communication skills, with the ability to work collaboratively across teams and with a range of business stakeholders.
The ability to independently and collaboratively lead the design, scoping and delivery of key feature slices to a high standard and within agreed timelines.
A strong motivation to learn.
The ability to thrive in a fast-paced environment and adapt quickly.

Skills

Python
PyTorch
AWS
Docker
Airflow
SQL
BigQuery
Kafka
LLMs
Embeddings
Transformers
MLOps

Location

Melbourne
Sydney

Work Type

Permanent
Hybrid
Flexible

Experience Level

Senior

Benefits

Hybrid and flexible approach to working
Flexible leave options, including birthday leave and the option to purchase additional leave
Flexible parental leave for primary and secondary carers
Volunteering leave
Community grants
Matched payroll giving
Community Café that donates 100% of revenue to charity
Hackdays

About the Company

With bold and ambitious goals, REA Group is changing the way the world experiences property.
No matter where you are on your property journey, we’re here to help with every step — from finding your next home to financing it.
Our people are the key to our success.
At the heart of everything we do is a thriving culture centred on high performance and care.
We are purpose-driven and collaborative, which drives innovation and our ability to make a real impact.
We’re proud to have been named one of Australia’s Best Workplaces four times since 2021 — including third place in 2025 — as well as Best Workplace for Women in 2023 and Best Workplace in Technology in 2024 and 2025.
These accolades are testament to every person who helps make REA a great place to work.

Equal Opportunity

We’re 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 in the job description, please still get in touch.