How would you build a model to predict the reasons why future customers might leave the business?
Machine Learning Internship Interview Questions
8,198 machine learning internship interview questions shared by candidates
How would you prevent overfitting?
Background and related projects
Elaborate on a past project.
What is the difference between One hot encoding and Label Encoding
- 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
ML algorithm using numpy/pytorch. System design around video search system.
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
Tell me about yourself Why C1
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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