Senior Software Engineer – Machine Learning

Senior Software Engineer - Machine Learning - News Corp With bold and ambitious goals, REA Group ( is 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 have been named one of Australia’s Best Workplaces ( four times since 2021 – including third place in 2025 – plus Best Workplace for Women in 2023 and Best Workplace in Technology in 2024 and 2025. These listings are testament to every person who helps make REA a great place to work. Where the team fits in The AI Enrichment squad sits within the Property & Future of Search portfolio, part of the broader Consumer Product group, headed up by our Executive General Manager. We are creating new products and solutions that will impact how Australians experience property, today and into the future. Day to day you’ll be working with a multifunctional team across product, ML, engineering, data, and consumer experience. You’ll be working with a collaborative environment to align around our consumer and team objectives, building systems that leverage ML and/or Generative AI, advocating for innovative ideas, processes and features that deliver on. Day to day of the job This is a unique opportunity to design and deliver delightful and reliable ML products at REA. As our Senior Machine Learning Engineer, you will be instrumental in designing and implementing the intelligent core of our platform. You’ll tackle complex challenges in natural language understanding (NLU), recommendation and ranking systems, semantic search, large language models, and personalization, directly impacting millions of users by helping them discover properties in ways they never thought possible. If you’re passionate about using AI to solve real-world problems and want to redefine an entire industry, this role is for you. What the role is all about Designing, implementing, testing, evaluating, deploying and observing ML product pipelines/services using Python, ML frameworks (e.g. pytorch), cloud-native technologies (AWS), devops (Docker, infrastructure as code, terraform), data engineering technologies (Airflow, kafka, SQL, BigQuery), and other technologies. Apply engineering best practices (e.g. test automation, CI/CD, refactoring, observability, etc.) to build and operate reliable ML products. Establishing automated evaluation and monitoring systems to track AI products / features performance, detect drift, and ensure quality at scale. Implementing and optimising ML models for ranking, relevance, and retrieval using embeddings, transformers, and LLMs in production environments, measuring and optimising third party models. Developing robust data pipelines and feature stores to support real-time and batch inference across various ML product use cases. Owning model lifecycle management including versioning, deployment, and CI/CD integration for reproducible experimentation and delivery. Contributing to discussions, design and delivery of ML platform capabilities to accelerate delivery. Primary languages: Python, SQL. What we’re looking for Proficiency with ML, ML engineering, MLOps, software engineering and LLMs in a commercial production environment. Demonstrated knowledge and application of machine learning, statistical analysis and modelling on both structured and unstructured data (e.g. image and text). Proficiency in Python, SQL, and/or other relevant ML technologies. We’re happy for you to learn the particulars on the job, but you need to be able to design and create good quality software. Can proactively identify the most appropriate machine learning approach and tools required to derive insights for a given commercial application or opportunity. Clear communication and collaboratively work across teams and with various business stakeholders. Ability to both independently and collaboratively lead the design, scoping and delivery of key feature slices to a high quality and to the agreed timelines. Motivation to learn – we are constantly learning together, mentoring each other and striving to do things better. Someone who thrives in a fast‑paced environment and willing to adapt quickly. 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 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’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. #J-18808-Ljbffr