Unlikely AI Machine Learning Engineer Intern
London, UK·129 interview reviews·Easy difficulty
Machine Learning Engineer Intern Interview Reviews
129The 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 Two Sorted Lists - Merge two sorted linked lists into one sorted list”
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.
“Longest Substring Without Repeating Characters - Find the length of the longest substring without repeating characters”
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.
“How do you handle tight deadlines and pressure?”
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 Rate Limiter - Implement an API rate limiting system”
About This Role
Frequently Asked Questions
How hard is it to get hired as a Machine Learning Engineer Intern at Unlikely AI?
The interview difficulty is rated 2.2/5 by candidates. 78% report a positive experience. Focus on Machine Learning, Python, Statistics to improve your chances.
How long does the Unlikely AI Machine Learning Engineer 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. 69% of candidates applied online.
What questions are asked in a Unlikely AI Machine Learning Engineer 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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