Graph Style leetcode hard quesiton. And some basic tradition machine learning MCPs, around 6 of them within 90 mins.
Machine Learning Internship Interview Questions
8,202 machine learning internship interview questions shared by candidates
- 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
Implement HashMap in Java
Viewing 7691 - 7700 interview questions