Design round: Design an api rate limiter Coding round: simple manipulation of arrays and maps Craft round: Design an ML Labelling system
Principal Machine Learning Engineer Interview Questions
21 principal machine learning engineer interview questions shared by candidates
General ML and NLP General RAG questions
We have an extensive collection of digitized archive records. Sometimes the OCR technologies that digitize these physical records make mistakes and produce some sections of garbled text. If you were to train an LLM on these records, how would you handle such OCR errors affecting training and inference?
Given a Jupyter notebook with code to load a classifier and images, there is a bug on inference. Find it and explain.
Solve the formula of stochastic gradient decent!
Given some ML-related source file, explain it. What does it do? How does it fit a project?
How to fix cost function in GANs when records appear with different targets
Coding questions similar to leetcode medium level and ML questions were reasonable for the principal level. Interview process was reasonable overall.
General questions related to classical image processing and classical machine learning.
How to deal with limited amount of training data?
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