Moderate level questions on the decisions to apply a particular ML algorithm on a dataset, (What they're looking for is a reasoning that factors in everything like inference time, results examinability(XAI or SHAP) and not just what algorithm will be the most accurate on a dataset. )
Explain the thought processes for previous OA question
The typical BS question.
stage 2 live code with principle eng mobile
I was asked several hypotheticals, mostly around soft skills. Questions such as "Tell me about a time you had difficulty working with someone."
1. General questions and HR questions like why am I looking for another jobs, my skill sets, Visa status, and etc. 2. Starting from an easy Leetcode question, and keep changing requirements of the same question to be mid-hard question. 3. Easy-Mid level coding question. 1 system design type of question, and STAR fashion behavioral questions.
Reverse string. Reverse linked list. Design vending machine system.
How do you handle completing work in a busy environment?
What I can do to get you in the door?
How to revert a single linked list? I solved, but with a mistake for the first time. After rewriting I had little time, so interview ended. That was my fault, I guess.
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