Machine Learning Engineer

Overview

Design and deploy scalable AI/ML solutions for REA Group's property platforms.

Key Responsibilities

• ml pipelines
• generative ai
• model development
• data visualization
• multi-modal ai
• recommender systems

Tasks

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

Requirements

• python
• pytorch
• aws
• docker
• bigquery
• nosql

What You Bring

-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. -Experience with key ML libraries such as PyTorch, Keras, HF models, Transformers, XGBoost/LightGBM, and Scikit-learn. -Good communication and interpersonal skills -Some experience deploying AI systems in real-time, production environments. -Competence in one or more of the following areas: Deep Learning / Generative AI, Computer Vision, Recommender Systems, Machine Learning -Skilled in large-scale development with one of the following programming languages: Python or SQL -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. -Familiarity with deployment tools like Terraform, or CloudFormation. -Matrix Factorization, Learning to Rank, and Deep Learning.

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Benefits

-Permanent full time roles based in Richmond or Sydney -Flexible leave options including, birthday leave and purchase additional leave -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 -Hackdays so you can bring your big ideas to life

About Rea Group

-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.

Sector Specialisms