Machine Learning Internship Interview Questions

8,195 machine learning internship interview questions shared by candidates

They asked if I was to make a project on document extraction project. This was because i was interviewing for that particular team and project. They also asked an array-related probability-related question. It was like there were random numbers in an array and then each element had some weight associated with it. so i had to output an array calculating the probability based on the weights assigned to each element.
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Machine Learning Engineer Intern

Interviewed at ServiceNow

4.1
Mar 18, 2025

They asked if I was to make a project on document extraction project. This was because i was interviewing for that particular team and project. They also asked an array-related probability-related question. It was like there were random numbers in an array and then each element had some weight associated with it. so i had to output an array calculating the probability based on the weights assigned to each element.

The coding interview was one of the most comfortable I had. It was with a very experienced person who made sure to be kind, understanding and open-minded. The ML interview however was by some rude woman possibly going through a mid life crisis, that she decides to take it out on you. From the start of the interview where she turned up late to putting down the candidate's accomplishments, she made sure to make the candidate uncomfortable. At the end when it was my turn to ask a question and I did, she decided to ask me a question back without answering it. That's how arrogant she was. The surprising part is, they took 2 weeks to find a person to conduct the ML interview, since they didn't have many ML experts inside. And they found an insufferable one.
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Junior Machine Learning Engineer

Interviewed at Smartsheet

3.3
Jul 6, 2023

The coding interview was one of the most comfortable I had. It was with a very experienced person who made sure to be kind, understanding and open-minded. The ML interview however was by some rude woman possibly going through a mid life crisis, that she decides to take it out on you. From the start of the interview where she turned up late to putting down the candidate's accomplishments, she made sure to make the candidate uncomfortable. At the end when it was my turn to ask a question and I did, she decided to ask me a question back without answering it. That's how arrogant she was. The surprising part is, they took 2 weeks to find a person to conduct the ML interview, since they didn't have many ML experts inside. And they found an insufferable one.

Algorithms and Data Structure. Typical Leetcode/Hackerrank questions. You will use an online coding tool to do the actual coding and explain your thoughts. 1. Balanced Brackets, determine a string of brackets has a balanced structure,.
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Machine Learning Engineer

Interviewed at Qualcomm

3.8
Jan 30, 2018

Algorithms and Data Structure. Typical Leetcode/Hackerrank questions. You will use an online coding tool to do the actual coding and explain your thoughts. 1. Balanced Brackets, determine a string of brackets has a balanced structure,.

1 round -> behavior (standard, describe projects that I work before, prepare some topics, show my level of complexity, impact/contributions; key topics: motivation, growth, resolution, trying to solve questions/challenges, resolve disagreement/conflicts, empathy, not just keep convence; driving results: how to hit the goal, beyond the goal, prioritize, how to do the jobs; how solve problems independly; embrace and ambiguity, comfortable, work well without many guidelines or information; Growth: how to handle the feedback from peer and manager, how to become a better engineer. Write down the story, use the star format. Prepare some cheatsheet.
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Machine Learning Engineer

Interviewed at Meta

3.6
May 22, 2024

1 round -> behavior (standard, describe projects that I work before, prepare some topics, show my level of complexity, impact/contributions; key topics: motivation, growth, resolution, trying to solve questions/challenges, resolve disagreement/conflicts, empathy, not just keep convence; driving results: how to hit the goal, beyond the goal, prioritize, how to do the jobs; how solve problems independly; embrace and ambiguity, comfortable, work well without many guidelines or information; Growth: how to handle the feedback from peer and manager, how to become a better engineer. Write down the story, use the star format. Prepare some cheatsheet.

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