Netflix Interview Questions

Review this list of 50 Netflix interview questions and answers verified by hiring managers and candidates.

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Asked at Netflix • 5 years ago
What is the total number of airports in the US and globally?
Product Manager
Estimation
+2 more
2 answers
"I would have been destroyed on this."
Alex C. - "I would have been destroyed on this."See full answer
Product Manager
Estimation
+2 more
Asked at Netflix, JP Morgan Chase • 3 years ago
What metrics do you monitor after deploying a machine learning model?
Machine Learning Engineer
Concept
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Machine Learning Engineer
Concept
Asked at Netflix • 2 years ago
What do you like most about the culture memo, and what would you have done differently?
Software Engineer
Behavioral
1 answer
"Questioning ones own self in the 1st, 2nd person."
Kaleb A. - "Questioning ones own self in the 1st, 2nd person."See full answer
Software Engineer
Behavioral
Asked at Netflix, Accenture, Coinbase • 2 months ago
Tell me about your experience.
Product Manager
Behavioral
+2 more
3 answers
"Good"
Rahul S. - "Good"See full answer
Product Manager
Behavioral
+2 more
Asked at Netflix, Capital One, Google + 1 more • 3 years ago
Tell me about a machine learning project you worked on.
Machine Learning Engineer
Machine Learning
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Machine Learning Engineer
Machine Learning

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Asked at Netflix, Multiverse, Pinterest • 8 months ago
Tell us about a time when you received feedback that helped you improve.
BizOps & Strategy
Behavioral
+2 more
Add answer
BizOps & Strategy
Behavioral
+2 more
Asked at Netflix • 3 years ago
Explain TF-IDF.
Machine Learning Engineer
Concept
1 answer
"TF-IDF CONCEPT EXPLANATION AND INTUITION BUILDING: TF-IDF is a measure that reflects the importance of a word in the document relative to a collection of documents. Its full form is Term Frequency - Inverse Document Frequency. The term TF indicates how often a term occurs in a particular document. It is the ratio of count of a particular term in a document to the number of terms in that particular document. So, the intuition is that if a term occurs frequently in a single documen"
Satyam C. - "TF-IDF CONCEPT EXPLANATION AND INTUITION BUILDING: TF-IDF is a measure that reflects the importance of a word in the document relative to a collection of documents. Its full form is Term Frequency - Inverse Document Frequency. The term TF indicates how often a term occurs in a particular document. It is the ratio of count of a particular term in a document to the number of terms in that particular document. So, the intuition is that if a term occurs frequently in a single documen"See full answer
Machine Learning Engineer
Concept
Asked at Netflix, Scale AI • 3 years ago
Tell me about your experience with computer vision.
Machine Learning Engineer
Behavioral
1 answer
"I've participated in several competitions in Kaggle concerning medical images. My most recent competition deals with images of skin lesions and classifying them as either melanoma or not. I focused on fine-tuning pretrained models and ensembling them. I also like to keep track of the latest trends of computer vision research, with a focus on making models memory-efficient through model compression and interpretability."
Xuelong A. - "I've participated in several competitions in Kaggle concerning medical images. My most recent competition deals with images of skin lesions and classifying them as either melanoma or not. I focused on fine-tuning pretrained models and ensembling them. I also like to keep track of the latest trends of computer vision research, with a focus on making models memory-efficient through model compression and interpretability."See full answer
Machine Learning Engineer
Behavioral
Asked at Netflix • 3 years ago
How do you choose a loss function for a machine learning problem?
Machine Learning Engineer
Concept
Add answer
Machine Learning Engineer
Concept
Asked at Netflix, Nvidia • 2 years ago
How do convolutional neural networks (CNNs) differ from traditional neural networks in processing image data?
Machine Learning Engineer
Concept
Add answer
Machine Learning Engineer
Concept