Technical question about Python and Machine Learning
Learning Engineer Interview Questions
6,591 learning engineer interview questions shared by candidates
2 turns of interviews: 1. Asking about general questions and basic understanding of ML, theortical and pratical level. 2. Technical questions about CNN and Numpy, such as understanding of CNN layers, how to handle some transformation using Numpy
The questions mainly tested the candidate's grasp of knowledge for basic concepts in: biology, chemistry, biochemistry, statistical thinking, and machine learning. I was asked to talk through relevant experiences and to describe certain machine learning models that I had previously worked with.
What is machine learning/ ML?
Q: Describe what are train, eval, test dataset.
Q: If eval dataset exists, why would we need test dataset?
Standard ML Engineer interview slate
Basic questions about CV, ML and data science fundamentals
propose a solution to NLP scenario given by the company's representative and the KPIs for the proposed solution.
Online Round - easy to solve in a day if you have 3-4 years of experience writing code. I did, so it was fairly simple for me. Face to face - He treats you with disrespect and copy pastes some LeetCode mediums and asks you to solve it. If you take time to solve it, he calls you a poor candidate without caring about anything else, and asks you to stop wasting his time.
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