Design a system to maximize CTR for Ads.
Senior Machine Learning Engineer Interview Questions
614 senior machine learning engineer interview questions shared by candidates
- They ask you to code an ML algorithm - The system design questions are relevant to their challenges and real problems they needed to solve.
Easy ML concepts Take home.
Was mostly with Pandas and distributed computing
They asked me to explain a complex ML project in simple language, including the problem, the approach, and the business impact. I answered by walking through a project where I built a predictive model from raw data, explained why I chose a certain algorithm, described how I handled model performance issues, and shared the final results and impact.
What are configuration files in AWS SageMaker?
Tell me about a time when you learned a new technology to solve a problem.
Provide an end to end overview of a ML project that you have worked on.
Implement some of classic Machine Learning algorithms
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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