
Staff Machine Learning Engineer
3 days ago
Staff Machine Learning Engineer
Location: Richmond, Melbourne VIC. Type: Full time. Requisition: R0013991
What you’ll do
- Design 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.
- Deliver end-to-end AI products, taking ideas from prototype to production in fast, iterative cycles.
- Use state-of-the-art LLMs and Agentic AI frameworks to build smart, goal-driven AI workflows.
- Optimise AI pipelines for speed and efficiency using techniques like quantisation, caching, distillation, multi-GPU training, and hybrid approaches that blend GenAI and classical ML.
- Evaluate LLM-based solutions consistently in offline and online environments, including A/B testing and performance monitoring.
- Extend model capabilities with feedback loops and enable dynamic, incremental learning through integration with knowledge databases and internal data systems.
- Build AI orchestrators using techniques like multi-armed bandits and reward models to optimise decision-making in real time.
- Collaborate with internal stakeholders to design and enhance data products.
- Promote REA’s AI, ML, and analytics capabilities both internally and externally.
- Support and share knowledge with junior team members.
Who we’re looking for
- MSc or PhD in Computer Science, Computational Physics, Mathematics, Statistics, or a similar discipline.
- Proven commercial experience in ML engineering, data science, or related fields.
- Proficiency in large-scale development with Python or a similar language.
- Strong expertise in one or more of the following areas: Deep Learning; Generative AI / Agentic AI; Prediction Models or Recommender Systems; Machine Learning.
- Experience with key ML libraries such as PyTorch, HF models, Transformers, NLTK, Pandas, LangGraph, AutoGen, Pydantic AI, MCP, LLMs APIs.
- Familiarity with relational databases (e.g., MySQL, PostgreSQL), BigQuery and NoSQL databases (e.g., Redis/DynamoDB, ElasticSearch/Solr, GraphDB).
- Cloud experience with major providers (AWS or Google Cloud): e.g., AWS EC2/S3, Vertex AI; Google Cloud Vertex AI, Compute Engine, Pub/Sub.
- Proficiency with containerisation technologies such as Docker.
- Experience deploying AI systems in real-time, production environments.
- Familiarity with deployment tools like Terraform or CloudFormation.
- Strong 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.
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.
Join our Talent Neighbourhood
Keen to be part of REA but didn’t find a perfect match with this opportunity? Perhaps the timing isn’t right? You should join our Talent Neighbourhood
#LI-HYBRID
We are an Australian-based digital media company with a passion for real estate. Our leading brand is Australia’s biggest property resource, realestate.com.au. We also operate the number one commercial property site, realcommercial.com.au, and have businesses that help property developers and other brands advertise with us. While we live in Australia, we’ve also got ventures in Asia and North America, and have the vision of expanding our footprint further. Everything we do is driven by our purpose to ‘change the way the world experiences property’ – from product innovation to our international investments.
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