Machine Learning Engineer

Kogan.com is one of Australia's largest eCommerce businesses, serving millions of customers and generating billions of customer interactions, transactions and data points every year.

As a Machine Learning Engineer, you'll build systems that directly influence what customers see, buy and experience. From powering recommendations and forecasting demand to deploying AI applications and LLM driven tools, you'll work on problems at real scale and see your models make an impact in production.

You'll join a high performing engineering team that ships daily, embraces AI as part of how we work, and gives engineers strong ownership from idea through to deployment.

What you'll do:

• Machine Learning Development: Design, build and deploy machine learning models that drive key business levers, including recommendation systems, demand forecasting, customer segmentation, churn prediction, pricing optimisation and fraud detection.
• Production ML Systems: Build reliable and scalable machine learning services that deliver predictions in both real time and batch environments, ensuring strong performance, reliability and cost efficiency.
• MLOps & Automation: Develop and maintain MLOps pipelines that automate model training, validation, deployment, monitoring and retraining.
• Feature Engineering: Work with large datasets to create robust feature pipelines and reusable datasets that improve model performance and accelerate experimentation.
• LLM & Generative AI Applications: Design, evaluate and deploy AI powered solutions using large language models (LLMs), retrieval systems, agents and emerging AI technologies to enhance customer experiences and internal productivity.
• Model Monitoring & Optimisation: Implement monitoring frameworks to track model performance, drift, accuracy and business impact, continuously improving models in production.
• Cross Functional Collaboration: Partner with Product Managers, Engineers, Analysts and business stakeholders to identify opportunities where machine learning can create measurable value.
• Software Engineering Excellence: Develop solutions in line with software engineering best practices, including Git, CI/CD, trunk based development, testing and observability.
• AI Collaboration: Contribute to experiments with AI and emerging technologies, helping shape how Kogan.com leverages machine learning and automation across the business.

What you'll need:

• Strong Python Skills: Commercial experience building machine learning applications and data pipelines using Python and relevant machine learning libraries.
• Machine Learning Expertise: Hands on commercial experience developing, evaluating and deploying machine learning models in production environments.
• MLOps Experience: Experience building and maintaining model deployment, monitoring and retraining pipelines using modern MLOps practices and tools.
• Data Engineering Foundations: Strong SQL skills and experience working with large datasets, feature engineering workflows and distributed data processing systems.
• Cloud Experience: Hands on experience with cloud platforms, preferably Google Cloud Platform (GCP), including Vertex AI, BigQuery and Cloud Run.
• Software Engineering Best Practices: Strong understanding of Git, CI/CD, testing frameworks, containerisation and production system reliability.
• AI & LLM Experience: Experience working with LLMs, embeddings, vector databases, RAG architectures or AI agents through commercial or personal projects.
• Problem Solving Mindset: A practical engineering approach that balances experimentation and innovation with reliability, scalability and business impact.

Nice to have:

• Experience building recommendation engines, search ranking systems or forecasting models.
• Exposure to ML platforms and tooling such as Vertex AI, Databricks, SageMaker or Kubeflow.
• Experience with streaming and event driven systems such as Kafka or Pub/Sub.
• Experience deploying AI applications powered by LLMs and agent frameworks.

Why Kogan.com?

• Work on machine learning and AI products that are used by millions of customers and have a measurable impact on the business.
• Own problems end to end, from experimentation and modelling through to deployment and optimisation in production.
• Join a highly capable engineering team that values autonomy, fast execution and practical innovation.
• Help shape the future of AI, machine learning and eCommerce at one of Australia's leading technology businesses.
• Receive a $1,000 annual learning budget to invest in your growth and development.
• Enjoy a range of benefits including a complimentary Kogan First membership, team discounts, health and wellbeing initiatives, Lunch & Learns, hackathons, referral bonuses, volunteering opportunities and regular team events.

To find out about how we work, our tech stack, processes and company culture, visit https://careers.kogan.com and https://devblog.kogan.com

About Us:

AI-enabled. Human-driven. Shipping smarter every day.

Kogan.com is a pioneer of Australian eCommerce. Our vision is to use and build technology to deliver personalised, innovative and fast customer experiences. We are pragmatic in our solutions, scalable in our architecture, strong on quality and not afraid to fail fast. As a team, we are empowered to make change, share our views and build each other’s capability. We see where AI is heading and we are building towards it. We keep testing, learning and embedding new capabilities into our stack where they add value. It supports our engineers to move faster, make better decisions and focus on solving the right problems.

The software we build, including www.kogan.com, is used by millions of customers, so this role has real impact. You will be a key member of a fast paced, independent and ambitious team, working across the full tech stack. We believe in using and building technology to improve the online shopping experience, and we are driven by seeing our software shipped to production every day.