Previous experience, SOTA in speech recognition
Deep Learning Engineer Interview Questions
519 deep learning engineer interview questions shared by candidates
- Implementation details of a paper. - Theoretical ML questions.
- Questions about Object detection and segmentation - Questions about ML/DL knowledge - Literature review about a selected topic - Code test
The HR interview was pretty easy. It seemed ridiculous that they only interviewed 5-6 people together. In the second interview, questions were asked about ML and DL in general. It also included difficult questions about CNN layers.
Generally just talked about experience and some random basic C++ questions over the phone. Pretty simple question & answering, I was just giving answers to various questions, without a deep discussion in any topic. Didn't really get any questions about DL, that part was just judged based on my (lack of) work experience in the field.
What do yo expect to accomplish with our company?
Are you familiar with YOLO models. What is the difference between object detection and classification. What is the difference between object detection and segmentation. About projects done.
Most questions were on probability and linear algebra. Resume based questions were also asked on Machine learning domain.
Describe the PGD attack algorithm
1. DL related questions: - Batch normalization - Regularization - overfitting underfitting etc. 2. Coding question similar to leetcode (not hard, it was easy)
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