Machine Learning Research Interview Questions

1,816 machine learning research interview questions shared by candidates

The initial 15 minutes is regarding the resume so make sure you know all the points you mentioned in the resume. Here are the following questions that were asked during the Interview: Choosing the right metric for a given situation and explaining your reasoning. Finding the optimal number for K in K-means clustering. Dealing with class imbalance in a dataset. Identifying and debugging model overfitting and underfitting. Explain transformer-based models and their advantages over RNNs and LSTMs. Describe convolutional neural networks (CNNs). Handling increased traffic in a cloud environment. Optimizing models for deployment. Easy Python coding exercise with internet access.
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Machine Learning Engineer

Interviewed at Twimbit

3.9
Dec 11, 2023

The initial 15 minutes is regarding the resume so make sure you know all the points you mentioned in the resume. Here are the following questions that were asked during the Interview: Choosing the right metric for a given situation and explaining your reasoning. Finding the optimal number for K in K-means clustering. Dealing with class imbalance in a dataset. Identifying and debugging model overfitting and underfitting. Explain transformer-based models and their advantages over RNNs and LSTMs. Describe convolutional neural networks (CNNs). Handling increased traffic in a cloud environment. Optimizing models for deployment. Easy Python coding exercise with internet access.

I applied online. Recruiter reached out and after initial phone screen scheduled call with hiring manager. Had a good call with both of them and then was given a case study involving data munging, building a ML model and then some strategic open ended questions. Returned via Jupyter Notebook and was invited for a virtual onsite interview. Onsite included two machine learning design/knowledge rounds, one python programming round and two management interviews. All interviewers were wonderful and the process was very smooth. Was given an offer within a week and accepted.
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Senior Manager, Machine Learning

Interviewed at Livongo Health

4.6
Jun 25, 2020

I applied online. Recruiter reached out and after initial phone screen scheduled call with hiring manager. Had a good call with both of them and then was given a case study involving data munging, building a ML model and then some strategic open ended questions. Returned via Jupyter Notebook and was invited for a virtual onsite interview. Onsite included two machine learning design/knowledge rounds, one python programming round and two management interviews. All interviewers were wonderful and the process was very smooth. Was given an offer within a week and accepted.

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