Implement some of classic Machine Learning algorithms
Senior Machine Learning Engineer Interview Questions
615 senior machine learning engineer interview questions shared by candidates
Provide an end to end overview of a ML project that you have worked on.
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?
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?
Q: What are data models, what data models have you used? Q: How can an API be deployed on a cloud platform? Q: What is the difference between a cross join and an outer join? Q: What is a columnar database?
Stages: Technical interview about my experience Take home task with very loose objectives. 1 week to complete. Implement an API that allows users to upload a photo, processes the photo and returns resulting photo. Discussing home task submission with the team.
what can I do if the data does not fit into the batch size?
What's your favorite hobbies ?
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