Tell me about deep learning
Machine Learning Research Engineer Interview Questions
252 machine learning research engineer interview questions shared by candidates
The questions ranged from basic topics like bias vs. variance trade-offs to advanced topics like LLMs and self-supervised learning. Usually, they will give you a hypothetical scenario and ask you to solve the problem using ML. Based on your answer, you are asked subsequent questions.
Some questions are based on the projects listed on my resume.
Codility test + analysis of one of my open-source contributions.
MySQL question - how to drop duplicates from a table where every building lists a sales price several times. Leave only the latest record
Median Leetcode question, meaning that they don't have a specific expectation of skill set that the candidate should possess, other than logic and general algorithm on Leetcode.
How would you go about creating a ML pipeline
Q: Overfitting vs Underfitting. Q: Bagging vs Boosting.
Can you describe the transformer architecture?
Write code to load in data, preprocess, and build a basic machine learning model.
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