ML algorithm using numpy/pytorch. System design around video search system.
Machine Learning Engineer Interview Questions
6,170 machine learning engineer interview questions shared by candidates
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.
1 sql, 1 pandas, 1 git, and the rest are mcq questions. These includes Stats, Data Structures, Pandas Lambda, and Data Science questions.
What is the difference between One hot encoding and Label Encoding
Describe a project you did in HTML, CSS, and Javascript
What are precision, recall, and F1-score? When would you use them?
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