Machine Learning Lead

Australia - Sydney

Greenfield recommendation platform | Technical leadership | Strong funding, customer base and runway

  • Be the pioneer of a greenfield recommendations platform
  • Business is an industry lead with millions of videos streamed per month
  • Visa sponsorship and relocation available for the right candidate

The Company and team:

Our client is one of the largest sports media companies in Australia. Their global coverage of live and recorded sports attracts more than a million unique visitors annually with millions of videos streamed per month.

With a healthy funding and runway, they are embarking on a journey to disrupt themselves by creating a live and on-demand sports-streaming service offering over 50 sports genres, available to stream on any device, at any time.

This role will sit within their Big Data Platforms & Decision Science team, and will take ownership of driving the technical roadmap of their recommendation engine and any Machine Learning related work.

What's your role?

Our client is looking for a Machine Learning / Data Science lead who has experience developing search and recommendation platforms, ideally within a multi-genre context. With the scale of content offered, you will be leaned on for your thought leadership and strategy on offering subscribers a serendipitous and personalised viewing experience.

Exposure to the sporting domain is optional, however any passion in this field would be highly favourable!

Exciting challenges you'll be tackling:

  • Proactively driving insights across the business, designing and implementing the technical roadmap for the recommendation platform for a personalised consumer experience
  • Working with the engineering and big data architect teams' to bring solutions into production
  • Leading the architecture and design of the recommendation platform by developing, and productionizing the relevant machine learning models
  • Building data pipeline, workflows and prototypes, translating technical concepts into concrete requirements

Technical requirements:

  • Strong background in Data Science or Machine Learning
  • Demonstrated experience developing search and recommendation systems
  • Experience productionising Data Science / Machine Learning models
  • Proficient with data mining, data manipulation and data visualisation techniques
  • Deep understanding and application of NLP and scalable algorithm development
  • Passion for solving complex problems and working with the best tools and technologies fit for purpose


  • Familiar with long-form video content and subscription-based business model
  • Experience with media-streaming (multi-sport / multi-genre) or e-commerce recommendation platforms

Tech Stack:

  • Data Science: R, Python, Jupyter notebook
  • Backend microservices with REST APIs
  • Deployed on AWS (Kinesis/Kafka, EMR, EC2 Clusters, Redshift & S3)
  • Big Data technologies e.g. Spark, Hadoop

This role has been archived.

We are no longer looking for candidates to fill this position. For similar opportunities, please visit our jobs board or feel free to contact us. We'd love to hear from you.