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
Learning Engineer Interview Questions
6,588 learning engineer interview questions shared by candidates
Implement HashMap in Java
Describe a project you did in HTML, CSS, and Javascript
1 sql, 1 pandas, 1 git, and the rest are mcq questions. These includes Stats, Data Structures, Pandas Lambda, and Data Science questions.
Technical take home assignment, SQL and Pyspark coding questions, presentation, product discussions.
A variant of Valid parentheses Leetcode medium
Systems design question about search engines
How would you handle tracking different colour balls in a cricket setting? (1 colour may be harder, and may have less data)
Compare advantages/disadvantages of CNNs vs Transformers
Basic data science questions for the most part, something like what is p-value, what is overfitting, cross-validation etc.
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