Solicité el puesto a través de la escuela superior o la universidad. El proceso duró 3 semanas. Acudí a una entrevista en Snap (Los Angeles, CA) en nov 2019
Entrevista
First a phone screen on basic ML questions. Starting from what is a derivative to what a convolution is. Then an onsite. 4 rounds on machine learning and coding questions. The rounds went into depth of machine learning both in design and as well as basics.
Preguntas de entrevista [1]
Pregunta 1
How to implement np.sum() along a given axis?
What to do if you have a lot of unlabeled samples and little labeled samlpes?
Design a neural network to take a max of two numbers
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.
