Machine Learning Engineer

Machine Learning Engineer Join to apply for the Machine Learning Engineer  role at REA Group .Permanent full‑time roles based in Richmond or Sydney. We’re REA With bold and ambitious goals, REA Group is changing the way the world experiences property. No matter where you are 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 fuels innovation and enables us to make a real impact. We’re proud to have been named in Australia’s “Top 5” Best Workplaces two years in a row, and to be recognised as a Best Workplace for Women. Day to day of the job Assist in designing scalable, multi‑modal AI solutions (text, image, audio, video) for our web and app platforms. Utilise 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 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 Python or SQL. Competence in Deep Learning / Generative AI, Computer Vision, Recommender Systems, or 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 (EC2, ELB, S3, VPC, Route 53) or Google Cloud (Vertex AI, Compute Engine, Pub/Sub, GCS). Comfort 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 A hybrid and flexible approach to working. Flexible leave options including birthday leave and purchase of additional leave. Flexible parental leave offering for primary and secondary carers. Our Because We Care program offers 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. 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. Seniority level Entry level Employment type Full‑time Job function Engineering and Information Technology Industries Technology, Information and Media Referrals increase your chances of interviewing at REA Group by 2x. Get notified about new Machine Learning Engineer jobs in Sydney, New South Wales, Australia. Sydney, New South Wales, Australia – 3 weeks ago. #J-18808-Ljbffr