I applied online. The process took 2 weeks. I interviewed at Snap in Mar 2024
Interview
This was a phone screen. Consists of 3 parts: 20 min values, 20 min coding, 20 min applied ML.
Values
Pretty standard behavioral questions, describe a situation etc
Coding
Asked me a hard LC question about how to get median of 2 sorted arrays (Leetcode #4).
ML
Asked to explain attention layer
In the end, I feel like even for MLE, this was on the advanced side of both DSA and ML theory, which doesn't sound reasonable. On top of this, the interviewer had horrible communication skills and couldn't answer even most basic questions properly.
Interview questions [2]
Question 1
Given two sorted arrays nums1 and nums2 of size m and n respectively, return the median of the two sorted arrays. The overall run time complexity should be O(log (m+n)).
The interview process for the ML position at Snap was pretty straightforward. It included a mix of machine learning fundamentals and algorithm/LeetCode-style coding questions. Overall, the interviewers were professional and the process was well organized.
Interview questions [1]
Question 1
some basic ML fundamentals question as well as algorithm/LeetCode-style coding questions.
1 phone screen and 4 on site rounds. Round 1 ML theory + leetcode
Round 2 ML discussion latest research papers
Round 3 ML coding
Round 4 and 5 Leetcode
Zoom with HR to verify the details, followed by a technical interview including questions about projects and an applied ML question.
The rest of the process includes three more interviews.
Interview questions [1]
Question 1
Tell me about a project you worked on and theoretical questions related to it.
Machine Learning Engineer applicants have rated the interview process at Snap with 3.4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 30% positive. To compare, the company-average is 46.1% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 20 days to get hired, when considering 23 user submitted interviews for this role. To compare, the hiring process at Snap overall takes an average of 26 days.
Common stages of the interview process at Snap as a Machine Learning Engineer according to 23 Glassdoor interviews include:
Phone interview: 41%
One on one interview: 31%
Skills test: 14%
Presentation: 7%
IQ intelligence test: 3%
Background check: 3%
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