ML system design and Explanation of 1 recent project
Machine Learning Engineer Intern Interview Questions
8,231 machine learning engineer intern interview questions shared by candidates
What all projects you have done related to ML.
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.
If a quickserve company wants to increase the price and maximize profits, what broad steps will you do(ml based) ?
Talk me through your CV.
There were some algorithmic questions (basically they describe a case where you need to do a complicated search over large datasets, I solved the problem via KD-trees, which the reviewer seemed to like, but they ended up implementing a giant hash instead).
CTO Round- Situation based question about Semaphores
How to handle data with imbalanced labels in classification?
What kind of work culture would you prefer?
How did you evaluate the model?
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