Machine learning engineer Interview Questions | Glassdoor.co.uk

Machine learning engineer Interview Questions

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Given a Jupyter notebook with code to load a classifier and images, there is a bug on inference. Find it and explain.

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The team wanted to know how I approach the problem, what I look at and drill down. Is the bug in the code, the data, the pre-processing, etc? A quite fun exercise. I solved it, but did not excel at it.

standard ML and software engineering questions.

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What is machine learning used in our day to day lives?

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General ML questions: explain how algorithm x works, how would you generalise this approach to a production problem, what considerations should be taken in terms of training properly.

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Why use F1 over accuracy?

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Given some ML-related source file, explain it. What does it do? How does it fit a project?

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Coding questions were similar to leetcode and other competitive programming

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Two classic "leetcode" style questions, one involving a binary search and the other dynamic programming. Prepare using the classic resources available online and you will be fine.

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They are really interested (understandably) about python competence and have a series of questions that you can only answer if you know python well enough.

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why do you want to get a job in data?

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