Behavior questions, technical questions, general background questions
Senior Machine Learning Engineer Interview Questions
615 senior machine learning engineer interview questions shared by candidates
Technical Interview was a problem that can be solved with dynamic programming in python. Hiring manager asked about a fraud detection ML use case. Topics included how would you design a model? What models would you use? If there is a feature with very high dimensionality, how would you go about dimensionality reductions? What embedding models have you used?
Screening: Questions about current projects, python, neural networks.
ML Practical: Design a system for fraud detection (when the customer is fraudulent).
Assessment: 3 parts involving coding, code review, and creating a design doc for a problem (estimate order processing time).
What is Regularisation ? How it works ? Why is it needed
Deep dive into one big project that you had delivered before.
Leetcode medium, given a list of prerequisites return the order these should be executed.
2) Typical dfs with memoization problem 3) 1- ML system design interview. Was given a ML task, and was asked to design solution and build a model with favorite framework 2- Programming test. hard leetcode problem 3- Programming test. hard leetcode problem 4- behavioral round 5- Programming test. hard leetcode round. I remember in particular that i was told by the interviewer: the problem has no optimised solution, just begin and we will see! So I directly thought of BFS with pruning.
HM Interview: No questions, sat there listening to the HM talk about their ML strategy for 30 mins. HR Interview: I was told I would need to present a business use case.
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