Ph ↳ Ph.D. Intern - 6G Wireless Systems - AI/ML �
Remote·89 interview reviews·Hard difficulty
↳ Ph.D. Intern - 6G Wireless Systems - AI/ML � Interview Reviews
89Applied 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”
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.
“Design Web Crawler - Design a distributed web crawling system”
CodeSignal online assessment, then one 45-minute interview. Interviewer was friendly and helpful. 2 leetcode questions then 5 minutes for any questions I had. Got my results in a few days.
“Tell me about a time you disagreed with a decision and how you handled it”
CodeSignal online assessment, then one 45-minute interview. Interviewer was friendly and helpful. 2 leetcode questions then 5 minutes for any questions I had. Got my results in a few days.
“Valid Parentheses - Determine if the input string has valid bracket pairs”
About This Role
Frequently Asked Questions
How hard is it to get hired as a ↳ Ph.D. Intern - 6G Wireless Systems - AI/ML � at Ph?
The interview difficulty is rated 3.6/5 by candidates. 67% report a positive experience. Focus on Software Development, System Design, Behavioral to improve your chances.
How long does the Ph ↳ Ph.D. Intern - 6G Wireless Systems - AI/ML � 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. 60% of candidates applied online.
What questions are asked in a Ph ↳ Ph.D. Intern - 6G Wireless Systems - AI/ML � 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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