Behavioral questions focusing on assessing the cultural fit
Software Engineer Machine Learning Interview Questions
8,212 software engineer machine learning interview questions shared by candidates
General questions about cultural fit
Binary search, recursion, linear regression, recommendation system
Under NDA, so no details. General motivation, but mostly technical: hard probability & statistics questions.
How to prevent overfitting, what is the coolest AI application, behavioral questions
What all feature would design for Spam Email Detection System - ? Could be natural language or anything as well in terms of feature
First round was a non-technical but complete assessment of behavioural scenarios, including a few questions on the candidate's long-term professional ambitions, as well as inquisitions on your general knowledge on AI as well as on the company itself. Second round was a technical and knowledge-based interview on many scientific concepts, testing the candidates on both their understanding of classical ML algorithms as well as their knowledge on more recent developments. Your problem solving approach may also be tested through a live-coding challenge. Final round was a technical homework assignment to be completed in a week, and later presented to the team, followed by a Q&A to understand your approach and decisions.
General questions about machine learning, training data split, computer vision ANNs, transfer learning, metrics, past experiences etc. Focused leetcode style coding question.
They asked a python question similar to a leetcode question.
What is the difference between K-Means and KNN algorithms, in which situations would they be applicable?
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