NYC·145 interview reviews·Easy difficulty
Had a recruiter screen first, then a technical round focused on system design and coding. The interviewer was very professional and walked through the problem step by step. Good overall experience.
“K Closest Points to Origin - Find K points closest to origin using Manhattan distance”
Just one round with 2 LC hards in 45 min. It wasn't too bad at all — if you've done a lot of LC you're gonna be fine. Make sure to check off your approach with the interviewer before you begin implementing.
“Two Sum - Given an array of integers and a target, return indices of the two numbers that add up to target”
Just one round with 2 LC hards in 45 min. It wasn't too bad at all — if you've done a lot of LC you're gonna be fine. Make sure to check off your approach with the interviewer before you begin implementing.
“Describe a time when you had to learn something quickly to complete a project”
Just one round with 2 LC hards in 45 min. It wasn't too bad at all — if you've done a lot of LC you're gonna be fine. Make sure to check off your approach with the interviewer before you begin implementing.
“Binary Tree Vertical Order Traversal - Return vertical order traversal of nodes”
The interview difficulty is rated 2.1/5 by candidates. 67% 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. 64% 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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