rokt | | Interview Experience
Interview Date: Not specified
Result: Not specified
Difficulty: Not specified
Interview Process
The interview consisted of four rounds. The first round focused on machine learning knowledge, specifically on designing a mini deep learning system related to recommendation systems. The second round was a coding interview that included a LeetCode problem. The third round involved system design, where the candidate was asked to design a ranking system. The final round was a behavioral interview conducted by a former Amazon employee, which was perceived as the most challenging.
Technical Questions
- System Design
- Two Sum (LeetCode)
- Behavioral Interview
Tips & Insights
The candidate found the system design round to be the most enjoyable, while the other rounds received negative feedback.