General questions about system design and machine learning.
Senior Machine Learning Engineer Interview Questions
614 senior machine learning engineer interview questions shared by candidates
ML Theory: Tested theoretical knowledge and core basics of Machine Learning. Topics on logistic regression, different types of loss functions, bias, variance, neural networks, regularisation and its usage.
How imbalanced data causes issue in Classification ? How is it handled ? What are the evaluation metrics for such scenario ? Which one to choose and why ?
What's your opinion on working >40 hours a week (rather 50-60, 40 being an exception)
Difference between linear and logistic regression. Difference between lasso and ridge regression. Bagging, boosting, forms of regularisations in algorithms. What is the operation behind convolution.
1. Last Projects on Machine Learning. 2.DSA - Matrix Related Question. Leetcode Medium. 3. SQL Queries - Complex Joins.
Interview kickstart page for Zoox Software Engineer has a good compilation of the questions I was asked.
Common questions were asked like other interviews, but coding challenges and ML system deaign challeneges were mostly focus on the product they already have.
Describe a model that you implemented.
Describe a global scale ML project
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