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
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Visa Sponsorship
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Security clearance
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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.