Solicité el puesto a través de un captador. El proceso duró 4 semanas. Acudí a una entrevista en Snap (Providence, RI) en nov 2021
Entrevista
Two code interviews: each round contains one hard and one medium code problem. One machine learning foundations, one machine learning system design. One behavioral question. Overall, the interviewers are all very nice!
8
Otras opiniones sobre las entrevistas para el puesto de Machine Learning Engineer en Snap
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.
Preguntas de entrevista [1]
Pregunta 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.
Preguntas de entrevista [1]
Pregunta 1
Tell me about a project you worked on and theoretical questions related to it.
