1. Ask about ML questions, such as Bias and Variance. 2. Explain the Transformer architecture. 3. How to reduce model size during training? Mixed Precision Training. 4. If there is data loss, how to fix it? 5. How to fix data imbalance? 6. What was t
1. 24h NLP Coding Question (Classification). 2. Give a presentation of recent research works. Describe novelty, contribution, and different techniques used. 3. Ask about general ML/DL/CV/NLP questions. 4. 30min Data Structure and Algorithm Coding.
One 1-hour HR interview asking personality and career development. One 24-hour challenge solving a basic NLP task. One 3-hour technical interview asking related project experience and basic machine learning knowledge, and one-hour coding test.
1. Ask about ML questions, such as Bias and Variance. 2. Explain the Transformer architecture. 3. How to reduce model size during training? Mixed Precision Training. 4. If there is data loss, how to fix it? 5. How to fix data imbalance? 6. What was t
1. 24h NLP Coding Question (Classification). 2. Give a presentation of recent research works. Describe novelty, contribution, and different techniques used. 3. Ask about general ML/DL/CV/NLP questions. 4. 30min Data Structure and Algorithm Coding.
One 1-hour HR interview asking personality and career development. One 24-hour challenge solving a basic NLP task. One 3-hour technical interview asking related project experience and basic machine learning knowledge, and one-hour coding test.