All interviews take about 1.5 months, and there are three interviews in total.
Overall, HR treated me nicely, and the interviewers were professional.
Q1. Talk about project experiences.
Q2. How to implement offline models in real-time?
Q3. GAN-related problems (WGAN, gradient vanishing).
Q4. Audio DSP problems in ML (preprocessing, data augmentation, why?).
Q5. Why is waveform hard to learn?
Q6. RNN, LSTM, GRU problems.
Q7. Do you know any famous ASR models? Talk about them.
Three LeetCode problems + ML system design.
The following metrics were computed from 1 interview experience for the Zoom Audio AI Engineer role in United States.
Zoom's interview process for their Audio AI Engineer roles in the United States is incredibly easy as the vast majority of engineers get an offer after going through it.
Candidates reported having very good feelings for Zoom's Audio AI Engineer interview process in United States.