Senior ML Engineer: Build Real‑World AI at Scale

Amazon Inc.; Sydney; On-site; AUD 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid working

Flexible leave options

Birthday leave

Parental leave

Community volunteering program

Hackdays

Job summary

REA Group is seeking a Senior Software Engineer - Machine Learning to design and deliver AI/ML products that shape how Australians experience property. You’ll join the AI Enrichment squad within Experiences & Platforms, collaborating across product, ML, software and data engineering to build scalable AI/ML solutions.

You’ll work with audience segmentation, large language models and multimodal vision-language models, delivering reliable systems using Python, PyTorch, AWS and cloud-native tech.

Qualifications

• Proficiency in machine learning, ML engineering, MLOps, software engineering and LLMs in production.
• Experience applying ML across training, evaluation, inference and monitoring with image/text data.
• Strong Python/SQL skills and ability to design maintainable software.

Responsibilities

• Design, implement, test, deploy and monitor AI/ML products, pipelines and services using Python and ML frameworks.
• Apply best practices: test automation, CI/CD, refactoring, observability, Docker and IaC.
• Develop data engineering pipelines using Airflow, SQL, BigQuery and Kafka.
• Establish automated evaluation and monitoring to track performance and quality at scale.
• Implement and optimise ML models for ranking, retrieval and relevance in production.
• Own model lifecycle management including versioning and CI/CD integration.

Skills

ML engineering

MLOps

LLMs

Python

SQL

Team leadership

Communication

Tools

PyTorch

Docker

Airflow

BigQuery

Kafka

AWS

Job description

REA Group is seeking a Senior Software Engineer - Machine Learning to design and deliver AI/ML products that shape how Australians experience property. You’ll join the AI Enrichment squad within Experiences & Platforms, collaborating across product, ML, software and data engineering to build scalable AI/ML solutions.

You’ll work with audience segmentation, large language models and multimodal vision-language models, delivering reliable systems using Python, PyTorch, AWS and cloud-native tech.