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6,594 learning engineer interview questions shared by candidates

Online Round - easy to solve in a day if you have 3-4 years of experience writing code. I did, so it was fairly simple for me. Face to face - He treats you with disrespect and copy pastes some LeetCode mediums and asks you to solve it. If you take time to solve it, he calls you a poor candidate without caring about anything else, and asks you to stop wasting his time.

Deep Learning Engineer

Interviewed at Picovoice

2.3★
May 24, 2022

Online Round - easy to solve in a day if you have 3-4 years of experience writing code. I did, so it was fairly simple for me. Face to face - He treats you with disrespect and copy pastes some LeetCode mediums and asks you to solve it. If you take time to solve it, he calls you a poor candidate without caring about anything else, and asks you to stop wasting his time.

Edge devices Transformers YOLO (feature extractors, if YOLO uses grids, how would it be able to capture spatial data, how to process all the bounding boxes to get a single one i.e. non max suppression ) Difference between YOLO and R-CNN (and its faster variants) in terms of performance and speed. GPU optimization for trained model (important one which was asked in both interviews) - If I have a model that has 30 FPS on GPU, how would I tune it to get 50 or 60 FPS? Image matting - since my project revolved around it Types of convolutions Skip connections Difference between AlexNet and ResNet How to extract key value pairs from text using NLP

Deep Learning Engineer

Interviewed at EDGENeural.ai

4.5★
Aug 30, 2022

Edge devices Transformers YOLO (feature extractors, if YOLO uses grids, how would it be able to capture spatial data, how to process all the bounding boxes to get a single one i.e. non max suppression ) Difference between YOLO and R-CNN (and its faster variants) in terms of performance and speed. GPU optimization for trained model (important one which was asked in both interviews) - If I have a model that has 30 FPS on GPU, how would I tune it to get 50 or 60 FPS? Image matting - since my project revolved around it Types of convolutions Skip connections Difference between AlexNet and ResNet How to extract key value pairs from text using NLP

Domande come "Quali aspetti ti piacerebbe migliorare del tuo carattere?" e "Ti capita spesso di vincere in una partita a scacchi o a dama?" poco hanno a che fare con una posizione tecnica come quella di un Ingegnere Senior
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Machine Learning and Computer Vision Engineer

Interviewed at Unitec

3.5★
Oct 6, 2022

Domande come "Quali aspetti ti piacerebbe migliorare del tuo carattere?" e "Ti capita spesso di vincere in una partita a scacchi o a dama?" poco hanno a che fare con una posizione tecnica come quella di un Ingegnere Senior

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