First, was contact with HR containing a full description of the process. Pre-screen interview: basic ML questions, live coding middle-level problem (not ML or algorithms); Experience interview: soft-skills + resume; ML Domain: given a real-life problem, you should describe it in ML terms and tell your solution; CS fundamentals: middle LeetCode problem; Laptop coding: you should code the OOP problem.
Walking through building a neural net for specific problem.
Design the system for text completion.
How could i deal with huge data-set?
Do you need sponsorship? Do you have a masters?
Basics of Deep Learning, activation function , some maths, optimizer , layers.
Usual LLM Things, LLM System Design
KNN, algorithm
Q: Given this company, how do you believe ML could be applied to solve some issue?
Create a web API to interact with OCR engine (sending images and getting the OCR results back via GET\POST)
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