Montreal, QC, Canada·33 interview reviews·Medium difficulty
Applied online and heard back in about a week. The technical interview was 45 minutes with two coding problems. Focus on time complexity and edge cases. The behavioral portion was brief but important.
“Clone Graph - Create a deep copy of an undirected graph”
Online assessment was difficult, but the final round technical was just 2 leetcode questions. Studying tagged questions and general leetcode helps a lot. Interviewer was friendly and wanted me to succeed.
“Rotate Image - Rotate an N x N matrix by 90 degrees clockwise in-place”
Straightforward — just 2 medium leetcode-tagged problems in 45 minutes. Very fast paced though so be aware of time. A few follow-up questions for the interviewer at the end. No behavioral questions.
“Describe a challenging project you worked on and how you overcame obstacles”
The process was pretty straightforward. It started with an online assessment, followed by a phone screen, and concluded with a final interview round that had two LeetCode medium difficulty problems.
“Design Web Crawler - Design a distributed web crawling system”
The interview difficulty is rated 3.3/5 by candidates. 75% report a positive experience. Focus on Machine Learning, Python, Statistics to improve your chances.
The process typically takes 2–6 weeks from application to final decision, depending on the hiring cycle and team availability.
Most candidates go through a recruiter screen, followed by technical coding rounds, and a final interview loop. 46% of candidates applied online.
Common topics include data structures & algorithms (arrays, trees, graphs), system design, and behavioral questions using the STAR method. Practice with our AI mock interviewer to prepare.
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