The interview process was very nice, focusing mostly on machine learning implementation and coding questions. The interviewer was very helpful and friendly. There were a total of 6-7 interview rounds. Moreover, there was a full discussion around th
OA + 2 rounds sequential phone screen interview. QA is about algorithms similar to LeetCode. Phone screens will focus more on your previous projects. The interviewer will identify points they are interested in and ask questions based on your experi
The interview started with discussions on project experiences, followed by questions on deep learning architectures (diffusion models, recommendation systems, etc.). Two mid-level LeetCode questions were then asked, covering: * Binary trees * Dynam
The interview process was very nice, focusing mostly on machine learning implementation and coding questions. The interviewer was very helpful and friendly. There were a total of 6-7 interview rounds. Moreover, there was a full discussion around th
OA + 2 rounds sequential phone screen interview. QA is about algorithms similar to LeetCode. Phone screens will focus more on your previous projects. The interviewer will identify points they are interested in and ask questions based on your experi
The interview started with discussions on project experiences, followed by questions on deep learning architectures (diffusion models, recommendation systems, etc.). Two mid-level LeetCode questions were then asked, covering: * Binary trees * Dynam