ML Engineer

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.

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!