First round with manager (optimization)
Second round with a guy who is now my teammate (programming)
Final round (6 interviews):
Vector zeros and positives: put all zeros at the beginning. O(n) O(1)
F score, imbalanced data, BERT.
Optimization questions: gradient boosting, convex.
Behavioral questions.
Big idea about their own project (cannot disclose).
The following metrics were computed from 1 interview experience for the Apple AI/ML Engineering role in San Jose, California.
Apple's interview process for their AI/ML Engineering roles in San Jose, California is incredibly easy as the vast majority of engineers get an offer after going through it.
Candidates reported having very good feelings for Apple's AI/ML Engineering interview process in San Jose, California.