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You are an engineer working on search. There has been an incident on social media: users are upset that photo results for certain queries have poor gender diversity, eg. “bodybuilder” shows mostly male bodybuilders. More and more users are posting new queries where results lack gender diversity. This is occurring because our content library is skewed: for each female bodybuilder image we have, we might have 50 male bodybuilders. Another team are manually elevating certain results for certain queries, but this is a manual process, and will not scale well. You have been asked to ship a more general mitigation for this problem by end of day. What would you do?
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Senior Machine Learning Engineer

Interviewed at Canva

3.9★
Apr 17, 2025

You are an engineer working on search. There has been an incident on social media: users are upset that photo results for certain queries have poor gender diversity, eg. “bodybuilder” shows mostly male bodybuilders. More and more users are posting new queries where results lack gender diversity. This is occurring because our content library is skewed: for each female bodybuilder image we have, we might have 50 male bodybuilders. Another team are manually elevating certain results for certain queries, but this is a manual process, and will not scale well. You have been asked to ship a more general mitigation for this problem by end of day. What would you do?

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