Machine Learning Engineer

Join the Machine Learning Engineer role at REA Group . We are looking for a talented engineer to help build AI‑powered solutions that impact millions of users across our leading property brand. Overview Permanent full‑time role based in Richmond or Sydney. Day to day of the job 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 such as SageMaker/Vertex AI, 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 such as Matrix Factorisation, 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 Practical experience in ML engineering, data science or related fields. Skilled in large‑scale development with one of the following programming languages: Python or SQL. 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, Hugging Face 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. Some of Our Perks & Benefits Include A hybrid and flexible approach to working. Flexible leave options including birthday leave and the option to purchase additional leave. Flexible parental leave offering for primary and secondary carers. Our Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity. Hackdays so you can bring your big ideas to life. 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. If you have the skills, dedication and enthusiasm to learn but don’t necessarily meet every single point on the job description, please still get in touch. Join our Talent Neighbourhood – if you’re keen to be part of REA but didn’t find a perfect match with this opportunity, you can still apply through our Talent Neighbourhood. #J-18808-Ljbffr