How to deal with heavy traffic (if the model is deployed on AWS)?
Machine Learning Engineer Interview Questions
6,173 machine learning engineer interview questions shared by candidates
Q: Given a dataset, setup a feature engineering pipeline.
How would you create a text file uploading backend and relay progress of a "ml process" back to the UI.
Basic questions from : Bias and Vairance trade-off, CNN, SVM with a little twist. Decision Tree, Random Forrest. Pros and Cons of these techniques. Detailed discussion on any Deep learning Architecture. ex: Transformers, wav2letter++ etc.
Why I am interested in their company?
90 min technical round - Run through the resume - Whiteboard system design with a verbal explanation (supply chain-related ML solution) Take-home assessment - System design for recommender engine Hiring manager call - Trees, regression ML question
leetcode #210 on course prerequisites. Given the total number of courses and a list of prerequisite pairs, return the ordering of courses The interviewer could not articulate the problem as clearly as described in leetcode,
dealing with unbalanced data for classification?
Questions about python, Machine Learning, whether papers had been published, questions on recursions. Oddly enough, the questions were simple... However, one person spoke very bad english and it was not possible to understand what he was saying. In Machine Learning there are a lot of acronyms PCA, R^2, TSNE, ReLU, Sigmoid... but for the life of me I couldn't understand what the person was saying.
Talk about one project that is the most related. Why ThredUp?
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