Was mostly with Pandas and distributed computing
Senior Machine Learning Engineer Interview Questions
621 senior machine learning engineer interview questions shared by candidates
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?
Split a data frame into batches.
Meet HR through MS Teams, and then you will be asked to finish a case-solving problem. If you pass, you will go to a meeting with the hiring manager, and they will ask you about how you solved this problem. After this round, you will meet with the technical team, they will ask you an easy-to-medium leetcode, some python scenario cases, work experience, etc.
Why do you want to join Apple? Tell me about your past experience. How would you use a large language model to improve Apple customer personalization experience?
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