Machine Learning Developer Interview Questions

8,221 machine learning developer interview questions shared by candidates

- Behavioral Questions which can be answered using STAR - Group Activity: Group stranded in sea and take only 7 things. Decide which ones with the group - Interview: Presentation about you, why Sage?, why you are a good person for this. This i followed by an interview regarding your CV, projects and experience.
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Graduate Machine Learning Engineer

Interviewed at Sage

3.6
Jul 29, 2021

- Behavioral Questions which can be answered using STAR - Group Activity: Group stranded in sea and take only 7 things. Decide which ones with the group - Interview: Presentation about you, why Sage?, why you are a good person for this. This i followed by an interview regarding your CV, projects and experience.

1. Computer Science questions - sorting, searching, data structure, binary tree. Actual code writing and walkthrough. How to optimize. Big O notations. Efficiency is always a key component here. 2. Machine learning and deep learning questions. Everything from supervised to unsupervised learning. What are the linear classifiers? Explain how CNN works, random forest, recurrent neural network. Clustering. Nearest neighbors. I think we gone through all the topics in machine learning. 3. System design. How to search efficiently. Explain previous experience or projects implemented etc.
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Machine Learning Engineer

Interviewed at Shopee

3.7
May 25, 2019

1. Computer Science questions - sorting, searching, data structure, binary tree. Actual code writing and walkthrough. How to optimize. Big O notations. Efficiency is always a key component here. 2. Machine learning and deep learning questions. Everything from supervised to unsupervised learning. What are the linear classifiers? Explain how CNN works, random forest, recurrent neural network. Clustering. Nearest neighbors. I think we gone through all the topics in machine learning. 3. System design. How to search efficiently. Explain previous experience or projects implemented etc.

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