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

Role

Description

model production

model monitoring

ml pipelines

cloud tools

recommendation models

product integration

Collaborate with senior machine learning engineers and data scientists to take ideas from prototype to production.
Continue to learn and grow your ML skills with hands-on experience and mentoring.
Work closely with product teams to support AI-powered product features.
Participate in model evaluation and monitoring.
Contribute to the design and development of machine learning solutions for REA.
Work with cloud-based tools and frameworks such as Python, Docker, and GCP or AWS.
Help develop and deploy ML pipelines for both batch and real-time use cases.
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.

Requirements

ml experience

communication

problem‑solving

cs degree

ml concepts

python

Some hands-on experience with machine learning, data science or software development projects (through internships, coursework or early professional experience).
Good communication skills and a willingness to learn and collaborate with others.
Curiosity, problem-solving mindset and enthusiasm for AI technologies.
A degree in Computer Science, Data Science, Mathematics, Engineering or a related field.
Understanding of machine learning concepts such as regression, classification, or recommender systems.
Familiarity with Python and key ML libraries such as Pandas, NumPy, Scikit-learn or PyTorch.

Benefits

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
Flexible parental leave offering for primary and secondary carers
Permanent full time role based in Richmond
Flexible leave options including, birthday leave and purchase additional leave
Hackdays so you can bring your big ideas to life

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 production

model monitoring

ml pipelines

cloud tools

recommendation models

product integration

Collaborate with senior machine learning engineers and data scientists to take ideas from prototype to production.
Continue to learn and grow your ML skills with hands-on experience and mentoring.
Work closely with product teams to support AI-powered product features.
Participate in model evaluation and monitoring.
Contribute to the design and development of machine learning solutions for REA.
Work with cloud-based tools and frameworks such as Python, Docker, and GCP or AWS.
Help develop and deploy ML pipelines for both batch and real-time use cases.
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.

Requirements

ml experience

communication

problem‑solving

cs degree

ml concepts

python

Some hands-on experience with machine learning, data science or software development projects (through internships, coursework or early professional experience).
Good communication skills and a willingness to learn and collaborate with others.
Curiosity, problem-solving mindset and enthusiasm for AI technologies.
A degree in Computer Science, Data Science, Mathematics, Engineering or a related field.
Understanding of machine learning concepts such as regression, classification, or recommender systems.
Familiarity with Python and key ML libraries such as Pandas, NumPy, Scikit-learn or PyTorch.

Benefits

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
Flexible parental leave offering for primary and secondary carers
Permanent full time role based in Richmond
Flexible leave options including, birthday leave and purchase additional leave
Hackdays so you can bring your big ideas to life

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