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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
First, an initial call with the hiring manager, lasting about 30 minutes. Following that, we scheduled the next two interviews via video call: * One with a manager from another department, featuring behavioral questions (STAR methodology). * Another
Initial interview. First technical interview with a practical exercise. Then, what they call a loop, which consists of 5 interviews with different people from the company. * 4 of them are practical coding exercises. * One with a manager. At the e
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
First, an initial call with the hiring manager, lasting about 30 minutes. Following that, we scheduled the next two interviews via video call: * One with a manager from another department, featuring behavioral questions (STAR methodology). * Another
Initial interview. First technical interview with a practical exercise. Then, what they call a loop, which consists of 5 interviews with different people from the company. * 4 of them are practical coding exercises. * One with a manager. At the e