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Machine Learning Engineer Interviews

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Machine Learning Engineer Interview Questions

Companies rely on machine learning engineers to help design and improve the systems that allow their software to improve on its own, rather than being specifically programmed. During the interview process, be prepared to be tested heavily on both computer science and data science knowledge with an emphasis on recognizing patterns and trends. A bachelor's degree in computer science or a related field will be required.

Top Machine Learning Engineer Interview Questions & How to Answer

Question 1

Question #1: What are the most important algorithms, programming terms, and theories to understand as a machine learning engineer?

How to answer
How to answer: Be prepared to talk about things like Type I and Type II errors, supervised and unsupervised machine learning, ROC curves, and other key parts of machine learning. Employers want to know you have a strong knowledge of the technical aspects of the job position.
Question 2

Question #2: How would you explain machine learning to someone who doesn't understand it?

How to answer
How to answer: Sometimes machine learning engineers have to work with people who aren't familiar with the technical aspects of the job. Use this interview question as an opportunity to show your strong knowledge of the position and your communication abilities.
Question 3

Question #3: How do you stay up to date with the latest news and trends in machine learning?

How to answer
How to answer: By talking about how you're up to date with the latest news and trends in machine learning, you can show an employer that you're engaged in the industry, a skilled researcher, and self-motivated.

8,202 machine learning engineer interview questions shared by candidates

1. Internal of Finetunning the model 2. How Qlora Works 3. Why to finetune model for Financial Model 4. Some Basic Python Question ,One dsa question(leetcode Easy-Medium) , one regex question 5. Discussion about Projects (worked previously on LLM bots so questions were near by this project)
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Machine Learning Engineer

Interviewed at Primotech

4.6★
Jun 25, 2024

1. Internal of Finetunning the model 2. How Qlora Works 3. Why to finetune model for Financial Model 4. Some Basic Python Question ,One dsa question(leetcode Easy-Medium) , one regex question 5. Discussion about Projects (worked previously on LLM bots so questions were near by this project)

They shared a google collab link to code that did not run, your task was to literally do everything except the skills most applicable to a machine learning engineer. They wanted you to make functions, make the functions modular, get the code to run, write unit tests, expose it as an api, containerize the application, make sure it can handle thousands of requests per second, then deploy with kubernetes, then incorporate ci/cd. You may think i'm joking but i'm not. I did all of this, and still was rejected from the role with an email saying "We are not able to provide individual feedback on the exercise and a reply will not be sent". Terrible assignment, asked way too much of a candidate and then exceptionally unhelpful and cold response. I would strongly recommend anyone considering state farm machine learning to instead consider going to a real farm and asking the cows to interview you for a position as a farmer, it would be a much better experience I promise.
avatar

Senior Machine Learning Engineer

Interviewed at State Farm

3.4★
Jul 11, 2024

They shared a google collab link to code that did not run, your task was to literally do everything except the skills most applicable to a machine learning engineer. They wanted you to make functions, make the functions modular, get the code to run, write unit tests, expose it as an api, containerize the application, make sure it can handle thousands of requests per second, then deploy with kubernetes, then incorporate ci/cd. You may think i'm joking but i'm not. I did all of this, and still was rejected from the role with an email saying "We are not able to provide individual feedback on the exercise and a reply will not be sent". Terrible assignment, asked way too much of a candidate and then exceptionally unhelpful and cold response. I would strongly recommend anyone considering state farm machine learning to instead consider going to a real farm and asking the cows to interview you for a position as a farmer, it would be a much better experience I promise.

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