ML questions were very basic, e.g. logistic regression, unbalanced classes in binary classification Coding Q was length of longest integer sublist with sum 0.
Machine Learning Engineer Intern Interview Questions
8,210 machine learning engineer intern interview questions shared by candidates
What is a decision tree?
Describe the project in my resume
What is SOLID in programming?
A coding question in graph theory
The interviews mostly focused on past systems experience. They had me describe the architecture of a couple systems I'd previously built, and then dug into the details, tradeoffs, and lessons learned for a long time. Additionally there were a couple of short whiteboarding questions, one that was all about probability and another that focused on algorithm design. It seemed like the most important part of these was actually thinking through them, asking good questions along the way, and collaborating with the interviewer.
- How to improve the performance of your code? - How does JIT work.
STAR Questions, Huge GIS-based take-home project, LeetCode style coding interview.
Take-home assignment involving manipulating raster data files
What is neural search? Have you ever built a neural search algorithm? How does classical search work?
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