Machine Learning Engineer
Vor 3 Tagen
We're REA REA Group is not your average digital business.
From humble beginnings in a garage in Melbourne's east in 1995, we have grown into a leading global digital business, specialising in property.
With bold and ambitious goals, we are 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 be named in Australia's "Top 5" Best Workplaces two years in a row, as well as being recognised as a Best Workplace for Women.
Where the team fits in The Machine Learning Engineer is part of the CX-AI team within the Consumer Experience division, under the broader Product & Audience group.
Our mission in the CX-AI team is to create and deliver high-quality AI solutions that empower users of our web and app experiences.
By utilising technologies like Large Language Models, Vision Language Models, Deep Learning, and Classic Machine Learning, we develop personalized and relevant property solutions.
Our AI capabilities enhance search experiences, provide tailored recommendations, improve property insights, and create engaging consumer interactions.
We focus on scalable, real-time solutions to ensure smooth and impactful experiences for users.
To achieve this, we build, manage, and maintain a variety of machine learning models and processes, including classification models, deep learning algorithms and recommendation engines.
The CX-AI team collaborates closely with various groups across the business, including teams in Consumer Product & Experience, Customer Product & Experience, PropTrack, and Data Services.
What the role is all about As a Machine Learning Engineer, you will:
Assist in designing scalable, multi-modal AI solutions (text, image, audio, video) for our web and app platforms. Utilize Generative AI, LLMs, and VLMs, combining them with traditional ML techniques to deliver impactful solutions. 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. Develop models that enhance property valuations, predict user behaviour, and provide personalised experiences. Create recommender systems (Collaborative Filtering, Content-Based, Hybrid) using techniques like Matrix Factorization, Learning to Rank, and Deep Learning. Extract insights from structured and unstructured data (e.g., text, image, video) for business impact. Develop visualisation tools to support data and model analytics. Collaborate with internal stakeholders to design and enhance data products. Promote REA's AI, ML, and analytics capabilities both internally and externally. Who we're looking for Our ideal candidate will have skills in the following areas:
Practical experience in ML engineering, data science, or related fields. Skilled in large-scale development with one of the following programming languages: Python. Competence in one or more of the following areas: Deep Learning / Generative AI, Computer Vision, Recommender Systems, Machine Learning. Experience with key ML libraries such as PyTorch, Keras, HF models, Transformers, XGBoost/LightGBM, and Scikit-learn. Familiarity with relational databases (e.g., MySQL, PostgreSQL), BigQuery and NoSQL databases (e.g., Redis/DynamoDB, ElasticSearch/Solr, GraphDB). 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). Comfortable with containerisation technologies such as Docker. Some experience deploying AI systems in real-time, production environments. Familiarity with deployment tools like Terraform, or CloudFormation. Good communication and interpersonal skills. 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.
We're committed to your development – both professionally and personally.
Your experience with us is something we take seriously.
We offer: A hybrid and flexible approach to working. Flexible parental leave offering for primary and secondary carers. Programs to support mental, emotional, financial and physical health & wellbeing. Our Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity. Hack Days so you can bring your big ideas to life. Performance recognition programs because hard work should never go unnoticed. 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 – be it cultural and ethnic backgrounds, gender identity, disability, age, sexual orientation, or any other identity or lived experience.
We know diverse teams are critical to maintaining our success and driving new business opportunities.
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.
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