Technical rounds including math, computer vision, software engineering and ML quiz. The 3D math problems are hard and hardcore. Asked about GAN and diffusion models. Quiz includes ml basics, feel like being scored against a list of standard answers.
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.
