Women in Machine Learning

Women in Machine Learning Blog Series: Part 1

Late last year we kicked off the Women in Machine Learning program with generous support from Qantas and Jetstar.

We created Women in Machine Learning to try and address the gender imbalance in MLAI and the wider tech industry. There are countless stats about how diverse teams perform better and make better products, software and applications. We also recognise the importance of diversity when making decisions around the way in which technology is used.

We had the unenviable task of selecting just 20 attendees from 68 applications, and we were blown away by their brilliance. In addition, as we learnt more about each attendee through the Women in Machine Learning program, we realised that they each have a really interesting story to tell about their career, along with advice on how to increase diversity and representation in the industry.

We will publish some of their stories in a blog series over the coming weeks. First one up is Ayesha Ahmed. Enjoy it here.

Do you or your company what to support the Women in Machine Learning  program in 2019? Register your interest here. 

We will be opening applications for theWomen in Machine Learning  program later in 2019. Register your details here to be amongst the first to apply.

Interested in a career in Machine Learning? We are hiring, check out our current openings here.  

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