Internship applicants have rated the interview process at FedEx 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 40% positive. This is according to Glassdoor user ratings.
Candidates applying for Internship roles take an average of 14 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at FedEx overall takes an average of 36 days.
Common stages of the interview process at FedEx as a Internship according to 1 Glassdoor interviews include:
Phone interview: 50%
One on one interview: 50%
Here are the most commonly searched roles for interview reports -
The interview process consisted of two consecutive interviews. Most of the questions were based on the STAR method, and I was asked to describe my previous experiences and explain how they were related to the position. The interview was not particularly difficult, but some of the questions were quite broad and vague, so it was sometimes difficult to understand exactly what kind of answer the interviewer was looking for.
Simple and easy, just asked about projects, and my takeaways from my classes. It was an easy casual conversation. Looking at my previous experiences. Just had 1 round with 2 managers.
I applied through college or university. The process took 1 week. I interviewed at FedEx (Madras) in Apr 2024
Interview
So, I submitted my resume, and then I just recieved a call, where I had to breifly describe about some of my resume projects. Also, I was asked about my preferences, about what I would love to work on, and also, we discussed later about what can be done as a part of the project and what the team needed at that time. So, I was asked only 1 technical question, where it was more like how you think, and not the exact answer.
Interview questions [1]
Question 1
So, our main work was on logistics. So, one famous algorithm is the Travelling salesman problem, for optimal routes. So, how would you approach to improve the time complexity of any algorithm, that performs the similar task.