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.
Learning Technology Interview Questions
11,809 learning technology interview questions shared by candidates
- How to improve the performance of your code? - How does JIT work.
Where do you see yourself in 5 years?
What instructional design methodologies do you use?
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?
General machine learning and programming questions
Small python quiz, modern neural networks architectures, if I run JinaAI product (seems like a must)
the interviewer didnt seem to have any knowledge of computer science or anything it entails. he asked me what 'inference' was. for the record, inference would mean different things in different context, so I explained him what it meant in the realm of mathematical logic.
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