What do you know about machine learning what is the difference between supervised and unsupervised
Machine Learning Intern Interview Questions
8,198 machine learning intern interview questions shared by candidates
Graph Style leetcode hard quesiton. And some basic tradition machine learning MCPs, around 6 of them within 90 mins.
- Give me your opinions on a bunch of AI-related things... - Invasive questions about past work history - Is this comp fine with you (giving wrong comp range)? - Do you have any questions
I got a software engineering question, not related to machine learning at all!
Background and related projects
In technical interview: They wanted to know mostly about the solution I presented for the take home assessment. In product and engineering interview: They asked questions about my past experience, specifically the products I build
Questions related to large-scale model training and some questions regarding my work
ML algorithm using numpy/pytorch. System design around video search system.
1st round: 4 leet-code style questions on CodeSignal. 2 easy, 2 medium/hard. 2nd round: 4 interviews in total a. ML job fit interview: was asked about some ML basics such as bias/variance tradeoff, how to deploy models, reduce latency during inference b. ML job fit interview: One coding question (find number of primes until N), and some questions about ML model deployment. c. Case Study: simple quantitative analysis of cost-benefit analysis about simple vs rigorous testing of software release cycles. d. Behavioral: 3 questions about past experience - describe a challenging situation you encountered - describe a time when you had to prioritize one task over another - describe when you changed status quo
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