AI/ML Intern applicants have rated the interview process at LinkedIn with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 54.1% positive. This is according to Glassdoor user ratings.
Candidates applying for AI/ML Intern roles take an average of 28 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at LinkedIn overall takes an average of 28 days.
Common stages of the interview process at LinkedIn as a AI/ML Intern according to 3 Glassdoor interviews include:
Phone interview: 50%
Group panel interview: 25%
Skills test: 25%
Here are the most commonly searched roles for interview reports -
2 rounds, Technical with a AI Engineer and behavioral with Engineering Manager. Experience was great. Asked about projects and discussed on what problems and challenges I Faced during the project, etc.
Interview questions [1]
Question 1
What is Learning rate and how we can we change it?
recruiter call to describe the process followed by 3-round interview: 1 coding (leetcode easy + ML), 1 technical (Machine Learning or Causal Inference depending on track), 1 behavioral with the hiring manager.
Interview questions [1]
Question 1
typical business case with impact evaluation using causal inference methods
I applied online. The process took 4 weeks. I interviewed at LinkedIn (Sunnyvale, CA) in Feb 2025
Interview
I applied online and received a phone screening call from the recruiter, who was friendly and provided a clear overview of the interview process. I was then scheduled for two rounds: an AI coding interview on CoderPad, where I solved medium-level LeetCode problems on strings and graphs, followed by a technical interview with the intern host manager. The second round focused on discussions about Graph ML, Generative AI, and questions related to my research projects and resume. The overall process was well-structured, with fair technical questions and a smooth experience.
Interview questions [1]
Question 1
How would you design a retrieval-based system for handling employee records? They also asked specific questions related to my recent project