Ho presentato la mia candidatura online. La procedura ha richiesto 3 settimane. Ho sostenuto un colloquio presso Amazon (Palo Alto, CA) nel mese di mar 2024
Colloquio
After the OA, there was a phone interview. I was asked many questions on ML basics like formula for the logistic regression model, difference between l1 and l2 regularization and then about my research. I had difficulty in understanding the interviewer's questions/responses to my questions due to accent issues. I was also a little nervous during the beginning that probably affected my performance. I think one should prepare stories about every leadership principle since I had difficulty thinking of one on the spot.
Domande di colloquio [1]
Domanda 1
I was asked many questions on ML basics like formula for the logistic regression model, difference between l1 and l2 regularization and then about my research. I had difficulty in understanding the interviewer's questions/responses to my questions due to accent issues. I was also a little nervous during the beginning that probably affected my performance. I think one should prepare stories about every leadership principle since I had difficulty thinking of one on the spot.
Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Amazon (Seattle, WA)
Colloquio
I went through two rounds of technical interviews. There was no coding at all; instead, I was asked about machine learning theory concepts as well as scenario-based applications and reasoning in ML.
Domande di colloquio [1]
Domanda 1
Leadership principles / bias variance trade off / gradient explosion
Ho presentato la mia candidatura online. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Amazon (Sunnyvale, CA) nel mese di lug 2025
Colloquio
1st round: Assessment - Easy Data Structure Questions
2nd round: ML Depth - Very detailed, asked about transformers at a root level, Optimization questions on TensorFlowRT, T5 models
3rd round: ML Breadth - Basic ML questions like overfitting/underfitting.
Domande di colloquio [1]
Domanda 1
How does Multi-headed attention work?
What is serialization?
Ho presentato la mia candidatura online. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Amazon (San Diego, CA) nel mese di gen 2025
Colloquio
Two back to back interviews focussed on breadth followed by depth covering pretty much the entire landscape of machine learning. They also have a lot of Leadership principles questions embedded into the interview. The challenging part is the breadth expectation.