K fold cross validation
Machine Learning Software Engineer Interview Questions
8,221 machine learning software engineer interview questions shared by candidates
How will my projects align to their company's role i've applied for
what are recommendation models and evaluation criteria ?
I was asked to solve a coding problem involving strings and palindromes. The interviewer mentioned that time complexity didn’t matter; the only expectation was to provide a working solution without errors, no explanation required.
The main technical question was a deep dive into the architecture of two-tower models. They specifically asked how I would design and implement one for a large-scale recommendation system, focusing on how to build the user and item towers separately.
Complete the sentences Select the pattern that completes the sequence Do math
- Describe a past project - What is regularization? What are different types of it? - If you have a million data points, would you use DNN or KNN? What's the difference in inference time? - Coding problem was writing the Splitwise algorithm. Given a list of payers and payees, find the best way to settle expenses.
Basic ML questions and a programming question
Dataset with EDA and potential ML based solution. Very typical Data scientist questions, EDA/clustering/recommendation.
A key focus of the interview was on my ability to make quick, effective decisions. They asked me to describe real examples where I had to make fast decisions that had a measurable impact on projects.
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