Hard and advanced questions from statistics, machine learning and deep learning.
Applied Scientist Interview Questions
1,167 applied scientist interview questions shared by candidates
1. Typical resume based questions 2. System Design question including coding
How does CNN work? Why CNN?
Walk me through a project. They will ask details during the process
- First round was a ~45-min presentation on a prior project. - One design question with the hiring manager seeing how I would approach the problem they are working on. This was the most technically difficult interview - One leetcode medium question with a software engineer. - Other rounds were a mix of behavioral questions and technical questions about CV/ML. - Each round had multiple behavioral questions (maybe half the time or more). I could tell they wanted me to be specific on my direct involvement and were gauging both how well I handled certain situations and how I could explain my core values. Overall not a very difficult interview, as long as you have solid examples for the behavioral questions/leadership principles. The technical aspect was actually far easier than several other non-FAANG companies I interviewed with.
Random forest vs decision tree
1) When you receive a critical feedback 2) When you find a significant problem in your team
Some questions that were asked: - Can you perform linear regression when two features are identical? - How would you train a logistic regression model when you have many more 0’s than 1’s in your training set? - What are problems with drop-out regularization and how are they tackled? - Why does L2 regularization work better than L1 regularization? - What are random forests? The interview ended with a programming challenge on a (virtual) whiteboard. It was a hard challenge that I could not solve within the ca. 10 minutes that I was given. Having two people watch what you type of course doesn't help.
Some ml questions, some algorithm questions
Write a SQL query to join two tables.
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