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Learning Technology Specialist Interview Questions
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First Round: coding interview question
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?
Could you describe the main based tree algorithms? (RF, XGboost etc...)
Nothing meaningful or worth mentioning.
What are some challenges faced by kubrick?
General questions about how you fit
Tell me a little bit about yourself. Where do you see your career in 3 years time? Why is it more beneficial for a client to employ a Kubrick Consultant than train in-house?
What kind of model optimizations have I worked on and familiar with
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