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.
Senior Machine Learning Engineer Interview Questions
621 senior machine learning engineer interview questions shared by candidates
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.
1) Build a production ready API with an ML model behind. 2) Explain the different optimization algorithms in DNN. 3) What are kernels and what is their use? 4) Why CNN's are translation invariant? 5) Review a Python module suggesting changes. 6) How would you regularize Random Forests? 7) How to make linear regression and Random Forests robust to outliers?
Describe a global scale ML project
ML and DL basic question, NLP, LLM. Talking about the projects you have done in details.
DSA question was given an array of integers, return another with product of elements except the element at index
AI/ML coding: NLP use case that involves walking through how you would calculate word frequency (TFIDF) then what's the best method to measure vector similarity. **Job description does not mention NLP**
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