Proxima Target Prioritization CS Intern
NYC·153 interview reviews·Hard difficulty
Target Prioritization CS Intern Interview Reviews
153Applied 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.
“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.
“Product of Array Except Self - Return an array where each element is the product of all other elements”
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 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.
“Merge Intervals - Merge all overlapping intervals”
About This Role
Frequently Asked Questions
How hard is it to get hired as a Target Prioritization CS Intern at Proxima?
The interview difficulty is rated 3.7/5 by candidates. 76% report a positive experience. Focus on Python, Machine Learning, Statistics to improve your chances.
How long does the Proxima Target Prioritization CS Intern hiring process take?
The process typically takes 2–6 weeks from application to final decision, depending on the hiring cycle and team availability.
What is the interview process like?
Most candidates go through a recruiter screen, followed by technical coding rounds, and a final interview loop. 64% of candidates applied online.
What questions are asked in a Proxima Target Prioritization CS Intern interview?
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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