---
title: 'ML Engineer at Kogan.com'
canonical: 'https://feeny.ai/job/ml-engineer-kogan-com-south-melbourne-k9jhxd0kc425'
type: 'job'
last_seen: '2026-09-10'
---

# ML Engineer at Kogan.com

- **Company:** Kogan.com
- **Location:** South Melbourne, Victoria
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-22
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.lever.co/kogan/5dc7a8ea-a5c0-48e1-bfae-273bba001c87

## Job description

Kogan.com is a pioneer of Australian eCommerce, and the software we build is used by millions of customers every day. You'll join a fast-moving engineering team with real ownership, shipping to production daily and using AI as part of how we work.

As a Data Engineer you'll design and run the data and ML pipelines that let teams across Marketing, Purchasing, Logistics and Finance make confident, data-driven decisions.

What you'll do:

- Machine Learning Development: Design, build and deploy machine learning models that solve practical business problems, 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 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.

Bonus Points

- Recommendation & Forecasting Systems: Experience building recommendation systems, search ranking models or forecasting solutions.
- ML Platforms & Tooling: Exposure to ML platforms and tools such as Vertex AI, Databricks, SageMaker or Kubeflow.
- Streaming & Event Driven Systems: Experience with event driven architectures and streaming technologies such as Kafka or Pub/Sub.
- LLM Application Deployment: Experience deploying AI applications powered by LLMs and agent frameworks.

Why Kogan.com?

- Our culture is unlike anywhere else and regardless of where you are in your career journey, we empower you to do your best work and have a big impact. Check us out https://devblog.kogan.com/ & https://goodteams.app/teams/kogan.com.
- Work with an incredible team to solve important challenges, helping to drive Australia and New Zealand's eCommerce future.
- Your role has a lot of ownership, autonomy and little red tape. You'll be empowered to achieve positive outcomes and your work will have a real impact.
- You'll be at the forefront of the eCommerce industry and be part of a company that are the Pioneers of eCommerce in Australia.
- Be an Intrepreneur, playing a hands on role in shaping our strategy at our HQ.
- Learning budget of $1000.
- A range of employee benefits such as; complimentary Kogan First Membership, team exclusive discounts, Health & Wellness program, Learning & Development and Lunch & Learns, Hackathons, Team member referral program, Company and team events and celebrations, community engagement (volunteering) and extensive career development opportunities plus loads more!

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

## About Kogan.com

## Company Overview
- **One-liner**: Kogan.com is a vertically integrated Australian eCommerce company that offers a wide range of products and services, positioning itself as the largest pure play online retailer in Australia and New Zealand.
- **Entity Type**: Public (ASX: KGN)
- **Headquarters**: Melbourne, Australia (implied by Australian operations; exact city not specified in sources)
- **Founded**: 2006
- **Founders**: Ruslan Kogan (widely known as founder, though not explicitly stated in provided sources)

## Core Business
- **Primary Industry**: E-commerce / Online Retail
- **Target Customers**: B2C (consumers across Australia and New Zealand), with a marketplace model also serving sellers (B2B)
- **Mission/Purpose**: To make the most in-demand products and services more affordable and accessible. [careers.kogan.com](https://careers.kogan.com/)

## Products & Services
- **Kogan Retail**: Flagship online store (kogan.com) plus other retail brands: DickSmith.com.au, MattBlatt.com.au, Brosa, and Mighty Ape. Offers millions of products across electronics, furniture, appliances, and more.
- **Kogan Marketplace**: Curated platform allowing third-party sellers and distributors to access Kogan’s customer community, with an Advertising Platform for seller promotion. [annual report](https://cdn-api.markitdigital.com/apiman-gateway/ASX/asx-research/1.0/file/2924-02857866-3A651639)
- **Kogan Mobile**: Mobile virtual network operator (MVNO) in partnership with TPG.
- **Kogan Travel**: Online travel booking service.
- **Kogan Energy**: Energy retail services.
- **Kogan Internet**: Broadband internet services.
- **Kogan Insurance**: Insurance products in partnership with NAB.
- **Kogan FIRST**: Subscription membership offering exclusive deals, discounts, and rewards. Over 502,000 subscribers as of June 2024. [annual report](https://cdn-api.markitdigital.com/apiman-gateway/ASX/asx-research/1.0/file/2924-02857866-3A651639)

## Market Standing
- **Valuation/Market Cap**: Not publicly available from provided sources (public company; real-time market cap can be obtained from ASX, but not included in search results)
- **Annual Revenue**: $488.1 million (reported by LinkedIn, likely fiscal year data) [linkedin.com](https://linkedin.com/company/kogan)
- **Key Metric (Private)**: N/A (public company)
- **Notable Investors/Partners**: TPG (for Kogan Mobile), NAB (for Kogan Insurance). No funding round data (public company).
- **Growth Signals**: Expansion into services (energy, internet, insurance); launch of Advertising Platform for Marketplace sellers; 2.6 million active customers and 502,000+ Kogan FIRST subscribers as of June 2024. [annual report](https://cdn-api.markitdigital.com/apiman-gateway/ASX/asx-research/1.0/file/2924-02857866-3A651639)

## Competitive Advantages
- **Vertically Integrated Model**: Combines technology, data analytics, sourcing, and logistics to control the value chain and offer competitive pricing.
- **Exclusive Brands**: Market-leading private label capabilities that complement third-party brands.
- **Data-Driven Culture**: Heavily analytical approach to product selection, pricing, and customer experience, as reflected in hiring and operational processes. [careers.kogan.com/how-we-hire](https://careers.kogan.com/how-we-hire)
- **Scalable Platform**: Marketplace and advertising platform create additional revenue streams and network effects.

## Strategic Focus
- **Service Portfolio Expansion**: Continuing to add everyday essential services (mobile, travel, energy, internet, insurance) to increase customer lifetime value.
- **Marketplace & Advertising Growth**: Scaling the curated marketplace and advertising platform to attract more sellers and drive incremental sales.
- **Customer Base Growth**: Growing Kogan FIRST membership and active customer count through data-driven marketing and value proposition.

## Why Work Here
- **Culture**: Data-driven, analytical, and problem-solving environment. Emphasis on logical thinking and continuous improvement. [careers.kogan.com](https://careers.kogan.com/)
- **Work-Life Balance**: Flexible working arrangements available.
- **Perks & Benefits**:
  - Exclusive discounts on Kogan products
  - Free Kogan FIRST membership
  - Health & wellness benefits (free yoga, Pilates, event participation)
  - Career development opportunities and professional learning budget
  - Team referral program with generous bonuses
  - Community engagement and volunteering opportunities
  - Performance and loyalty awards
- **Office Environment**: Office-based with pop-up food trucks, pool table, and table tennis. *Note: The company does not offer remote-only/virtual positions.* [careers.kogan.com/how-we-hire](https://careers.kogan.com/how-we-hire)
- **Hiring Process**: Analytical testing (for all candidates), psychometric and technical testing for some roles; two-stage behavioral interviews; cover letter required. Equal opportunity employer.

## Sources
1. [careers.kogan.com](https://careers.kogan.com/)
2. [linkedin.com/company/kogan](https://linkedin.com/company/kogan)
3. [jobs.lever.co/kogan](https://jobs.lever.co/kogan)
4. [Annual Report (FY2024)](https://cdn-api.markitdigital.com/apiman-gateway/ASX/asx-research/1.0/file/2924-02857866-3A651639)
5. [careers.kogan.com/how-we-hire](https://careers.kogan.com/how-we-hire)

## Other roles at Kogan.com

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