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Senior Machine Learning Engineer Interview Questions

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621 senior machine learning engineer interview questions shared by candidates

I reached the pair programming test without knowing what that was about and how to prepare (nobody was able to give a proper explanation of the process). In the end two software engineers presented me some code with errors/not performing parts and I was supposed to tell them my thoughts. It was ok, but it did not test at all what I could do or learn. It was more about 'this is how we do; this is what we know. If you do not do this way, and you do not know these things, you are not worth this job'. Well, happy I did not get the job in the end. Definitely not a place where you can think of learning something.
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Senior Machine Learning Engineer

Interviewed at Faculty.ai

3.6★
Oct 18, 2022

I reached the pair programming test without knowing what that was about and how to prepare (nobody was able to give a proper explanation of the process). In the end two software engineers presented me some code with errors/not performing parts and I was supposed to tell them my thoughts. It was ok, but it did not test at all what I could do or learn. It was more about 'this is how we do; this is what we know. If you do not do this way, and you do not know these things, you are not worth this job'. Well, happy I did not get the job in the end. Definitely not a place where you can think of learning something.

1. Call with the Recruiter: The questions were general and non-technical, such as "Tell me about yourself and your experience" and "Why are you interested in Ninety?" Typical questions that you'd expect from a non-technical recruiter. 2. Technical Interview: First part: I was asked to explain a sentiment analysis implementation, walking through the code line by line while thinking out loud. This included discussing how the code works, identifying the hyper-parameters, and suggesting ways to tune and improve performance. Second part: This focused on a broad range of machine learning and data science topics. Some key questions included: Explain Naive Bayes and Bayes' Theorem. How does it work? What is the Transformer architecture? Can you explain each component in detail? How is feature engineering done in Computer Vision tasks? What is the ResNet architecture, and how does it work? The interview covered both breadth and depth across ML/DL topics. Some LLM questions, involving RAG, etc. The other two interview: project that you're proud of? the challenges you face doing a project and how did you resolve it? followed by many more questions about the current project that they had and the challenges and asked me how would I approach them and my resolutions? ...
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Sr. Machine Learning Engineer

Interviewed at Ninety

3.3★
Sep 5, 2024

1. Call with the Recruiter: The questions were general and non-technical, such as "Tell me about yourself and your experience" and "Why are you interested in Ninety?" Typical questions that you'd expect from a non-technical recruiter. 2. Technical Interview: First part: I was asked to explain a sentiment analysis implementation, walking through the code line by line while thinking out loud. This included discussing how the code works, identifying the hyper-parameters, and suggesting ways to tune and improve performance. Second part: This focused on a broad range of machine learning and data science topics. Some key questions included: Explain Naive Bayes and Bayes' Theorem. How does it work? What is the Transformer architecture? Can you explain each component in detail? How is feature engineering done in Computer Vision tasks? What is the ResNet architecture, and how does it work? The interview covered both breadth and depth across ML/DL topics. Some LLM questions, involving RAG, etc. The other two interview: project that you're proud of? the challenges you face doing a project and how did you resolve it? followed by many more questions about the current project that they had and the challenges and asked me how would I approach them and my resolutions? ...

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