The test was 4 hours long and was composed of 3 parts. Maths and Logic, Algorithms and Data structures, and a Machine learning task. The maths and logic asked fairly straight questions, algos part was a bit tricky since it focused on efficiency and execution speed. So, getting the right solution was not enough. It had to be the best in terms of O complexity. The ML task took the most time. It was also quite straightforward and somewhat entertaining but you really have to brush up on your text feature engineering skills.
Machine Learning Research Interview Questions
1,840 machine learning research interview questions shared by candidates
Describe a recent research paper you found interesting.
2 algorithmic interviews and 2 ML interviews. For algorithmic, both were easy to medium leetcode-style questions. For ML, one was about basics of ML, statistics, data analysis and the other was little more specific topic like NLP.
YOLO(based on my resume), python basics , ML basic concepts , kutosis,lasso , matrix related questions ,etc
Discuss the steps of implementing an end-to-end ML pipeline.
Loss function for Decison trees
Tell me about a project you are proud of?
What is validation dataset? what is accuracy measure?
General ML and deep learning questions
My project experience, technologies and deployment tools
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