Machine Learning Engineer at Rea Group in Richmond, Victoria, Australia | Kablio

Role

Description

model development

generative ai

data visualization

recommender systems

ml deployment

multi‑cloud

Promote REA’s AI, ML, and analytics capabilities both internally and externally.
Collaborate with internal stakeholders to design and enhance data products.
Develop models that enhance property valuations, predict user behaviour, and provide personalised experiences.
Utilize Generative AI, LLMs, and VLMs, combining them with traditional ML techniques to deliver impactful solutions.
Extract insights from structured and unstructured data (e.g., text, image, video) for business impact.
Assist in designing scalable, multi-modal AI solutions (text, image, audio, video) for our web and app platforms.
Develop visualisation tools to support data and model analytics.
Work across a leading property brand impacting millions of users!
Create recommender systems (Collaborative Filtering, Content-Based, Hybrid) using techniques like
Build and deploy real-time ML, APIs and batch pipelines using multi-cloud frameworks (AWS/GCP) and tools like SageMaker/VertexAI, Docker, Infrastructure as Code, and Python.

Requirements

python

docker

terraform

aws

pytorch

deep learning

Matrix Factorization, Learning to Rank, and Deep Learning.
Familiarity with deployment tools like Terraform, or CloudFormation.
Skilled in large-scale development with one of the following programming languages: Python or SQL
Familiarity with relational databases (e.g., MySQL, PostgreSQL), BigQuery and NoSQL databases (e.g., Redis/DynamoDB, ElasticSearch/Solr, GraphDB).
Practical experience in ML engineering, data science, or related fields.
Some experience deploying AI systems in real-time, production environments.
Comfortable with containerisation technologies such as Docker.
Experience with key ML libraries such as PyTorch, Keras, HF models, Transformers, XGBoost/LightGBM, and Scikit-learn.
Good communication and interpersonal skills
Experience with cloud platforms: AWS (e.g., EC2, ELB, S3, VPC, Route 53) OR Google Cloud (e.g., Vertex AI, Compute Engine, Pub/Sub, GCS)
Competence in one or more of the following areas: Deep Learning / Generative AI, Computer Vision, Recommender Systems, Machine Learning

Benefits

Flexible parental leave offering for primary and secondary carers
Hackdays so you can bring your big ideas to life
Flexible leave options including, birthday leave and purchase additional leave
Permanent full time roles based in Richmond or Sydney
A hybrid and flexible approach to working
Our Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

Founded in 1995

Company Origins

The company was established in a Melbourne garage, marking the beginning of its journey to become a publicly traded entity.

A$928M Revenue

Financial Performance

The company achieved significant revenue growth, exceeding A$928 million in fiscal year 2021.

16+ Brands

Brand Portfolio

The company has expanded its portfolio to include over 16 brands, including strategic investments and ventures.

Flagship platforms like realestate.com.au and realcommercial.com.au attract millions of users monthly across Australia and beyond.
International expansion included acquisitions in Europe, Asia, and North America, spanning Italy, Luxembourg, India, and the US.
Its services span residential, commercial, and industrial property advertising, mortgage brokering, and property analytics.
Blended agile tech culture: cloud-native, multi-language engineering teams driving user-centric innovation.
Notable moves: controlling atHome in Europe, merging SEA assets with PropertyGuru, and eyeing stakes in the UK’s Rightmove.

Culture + Values

Believes in making a positive difference for people, its customers, and its communities.
Driven by values of integrity, innovation, and collaboration.
Takes responsibility and accountability for its actions.
Passionate about its work and the impact it makes.
Has a growth mindset, encouraging new ideas and continuous learning.
Fosters an inclusive, supportive, and diverse culture where everyone can thrive.

Environment + Sustainability

Net Zero by 2030

Carbon Emissions Target

Committed to achieving net zero carbon emissions by 2030 through impactful sustainability initiatives.

The company has implemented energy-efficient practices and renewable energy sourcing.
They have invested in carbon offset programs to neutralize their environmental impact.
The company has committed to reducing waste and increasing recycling initiatives across operations.
The company tracks and reports on its sustainability performance annually.

Inclusion & Diversity

50% women

Women in Leadership

Target to achieve gender balance in leadership roles by a specified year.

Reports on gender diversity across all levels of the business.
Sets targets for gender pay equity and tracks progress.
Promotes a workplace culture that supports individual needs and encourages flexible work arrangements.
Initiatives to support diverse backgrounds and perspectives.

Articles

Role

Description

model development

generative ai

data visualization

recommender systems

ml deployment

multi‑cloud

Promote REA’s AI, ML, and analytics capabilities both internally and externally.
Collaborate with internal stakeholders to design and enhance data products.
Develop models that enhance property valuations, predict user behaviour, and provide personalised experiences.
Utilize Generative AI, LLMs, and VLMs, combining them with traditional ML techniques to deliver impactful solutions.
Extract insights from structured and unstructured data (e.g., text, image, video) for business impact.
Assist in designing scalable, multi-modal AI solutions (text, image, audio, video) for our web and app platforms.
Develop visualisation tools to support data and model analytics.
Work across a leading property brand impacting millions of users!
Create recommender systems (Collaborative Filtering, Content-Based, Hybrid) using techniques like
Build and deploy real-time ML, APIs and batch pipelines using multi-cloud frameworks (AWS/GCP) and tools like SageMaker/VertexAI, Docker, Infrastructure as Code, and Python.

Requirements

python

docker

terraform

aws

pytorch

deep learning

Matrix Factorization, Learning to Rank, and Deep Learning.
Familiarity with deployment tools like Terraform, or CloudFormation.
Skilled in large-scale development with one of the following programming languages: Python or SQL
Familiarity with relational databases (e.g., MySQL, PostgreSQL), BigQuery and NoSQL databases (e.g., Redis/DynamoDB, ElasticSearch/Solr, GraphDB).
Practical experience in ML engineering, data science, or related fields.
Some experience deploying AI systems in real-time, production environments.
Comfortable with containerisation technologies such as Docker.
Experience with key ML libraries such as PyTorch, Keras, HF models, Transformers, XGBoost/LightGBM, and Scikit-learn.
Good communication and interpersonal skills
Experience with cloud platforms: AWS (e.g., EC2, ELB, S3, VPC, Route 53) OR Google Cloud (e.g., Vertex AI, Compute Engine, Pub/Sub, GCS)
Competence in one or more of the following areas: Deep Learning / Generative AI, Computer Vision, Recommender Systems, Machine Learning

Benefits

Flexible parental leave offering for primary and secondary carers
Hackdays so you can bring your big ideas to life
Flexible leave options including, birthday leave and purchase additional leave
Permanent full time roles based in Richmond or Sydney
A hybrid and flexible approach to working
Our Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

Founded in 1995

Company Origins

The company was established in a Melbourne garage, marking the beginning of its journey to become a publicly traded entity.

A$928M Revenue

Financial Performance

The company achieved significant revenue growth, exceeding A$928 million in fiscal year 2021.

16+ Brands

Brand Portfolio

The company has expanded its portfolio to include over 16 brands, including strategic investments and ventures.

Flagship platforms like realestate.com.au and realcommercial.com.au attract millions of users monthly across Australia and beyond.
International expansion included acquisitions in Europe, Asia, and North America, spanning Italy, Luxembourg, India, and the US.
Its services span residential, commercial, and industrial property advertising, mortgage brokering, and property analytics.
Blended agile tech culture: cloud-native, multi-language engineering teams driving user-centric innovation.
Notable moves: controlling atHome in Europe, merging SEA assets with PropertyGuru, and eyeing stakes in the UK’s Rightmove.

Culture + Values

Believes in making a positive difference for people, its customers, and its communities.
Driven by values of integrity, innovation, and collaboration.
Takes responsibility and accountability for its actions.
Passionate about its work and the impact it makes.
Has a growth mindset, encouraging new ideas and continuous learning.
Fosters an inclusive, supportive, and diverse culture where everyone can thrive.

Environment + Sustainability

Net Zero by 2030

Carbon Emissions Target

Committed to achieving net zero carbon emissions by 2030 through impactful sustainability initiatives.

The company has implemented energy-efficient practices and renewable energy sourcing.
They have invested in carbon offset programs to neutralize their environmental impact.
The company has committed to reducing waste and increasing recycling initiatives across operations.
The company tracks and reports on its sustainability performance annually.

Inclusion & Diversity

50% women

Women in Leadership

Target to achieve gender balance in leadership roles by a specified year.

Reports on gender diversity across all levels of the business.
Sets targets for gender pay equity and tracks progress.
Promotes a workplace culture that supports individual needs and encourages flexible work arrangements.
Initiatives to support diverse backgrounds and perspectives.

Articles