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Machine Learning Engineer Interview Questions
6,178 machine learning engineer interview questions shared by candidates
The exam consisted of 3 tasks. The first included a bash exercise for finding lines in files, the second tested knowledge of message passing between processes with a large number of constraints and the third tested a common ETL procedure for training models. The bash and message passing algorithms were a little tricky as there was no way to easily test the code locally. Overall, the questions seemed relevant and the appropriate difficulty.
Can't go into specifics but the initial interviews focused on engineering fundamentals and leetcode type questions while the later interviews focused more on Machine Learning fundamentals and company fit.
Define a CNN, how it works and which parts of the entire CNN operation benefit most from GPU usage.
Probability question. Every 15 minutes, 20% chance of seeing one shooting star, what's the chance of seeing at least 1 shooting star in 60 mins.
Grid manipulation and graph traversal
- 3rd round, take home task. I have spent hours and completed the challenge. Hiring team didn't bother to send even a single line of feedback. Such an unprofessionalism.
What would you do if you have more time in work？
A simple coding question having to do with sorting arrays
Implementation of an algorithm in Python based on a topic relevant to Speechmatics' field.
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