Neural Networks, Statistical, Natural Language Processing, Classifications, Regressions. Some theoretical MCQ, Some applied problems to solve by coding, and datasets were provided. Time was limited to 5hrs.
Machine Learning Engineer Interview Questions
6,169 machine learning engineer interview questions shared by candidates
Standard HR questions. Background, why this company, previous experiences.
What do you know about machine learning what is the difference between supervised and unsupervised
- 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.
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
Tell me about yourself Why C1
My previous experience, the tech stack I've worked with, explain to them what Belvo does, questions to understand how I relate to Belvo's values, etc.
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