Candidatei-me por meio de uma faculdade ou universidade. O processo levou mais de 1 semana. Fui entrevistado pela Qualtrics em set. de 2016
Entrevista
I applied through my college's career board. I was contacted 6 days after applying. They emailed me saying they liked my resume and wanted to set up a technical phone screening. The phone screen was about 45 minutes long. I answered questions about my resume and then two programming questions on a code sharing website. The programming questions could be answered in any language. I chose Python. I think I fumbled a bit with the "behavioral" questions. My solutions to the programming questions were mostly correct.
Perguntas de entrevista [2]
Pergunta 1
Write a function to print the values of a binary tree.
Given a list of strings, write a function that will return a list of lists containing all anagrams within the input list. (ex: Input ["ice", "cei", "cheese", "pool", "loop"], Output [["ice", "cei"], ["cheese"], ["pool", "loop"]])
1st stage technical online assessment, 3 problems to solve of different difficulty, 2 easy and one more advanced. 2nd stage 2 problems to solve during live coding session, not so difficult but you have to do it in most optimal way
Perguntas de entrevista [1]
Pergunta 1
1 task was sth about creating words from letters of another if i recall well
Candidatei-me por indicação de um funcionário. O processo levou 4 semanas. Fiz uma entrevista na empresa Qualtrics.
Entrevista
The whole process was remote. I was referred by a friend who works here.
1. Chat with recruiter
2. Chat with hiring manager (behavioral questions)
3. Coding Question on hacker rank
4. System Design question - interviewer didn't turn on camera, said very little throughout the process
The recruiter told me that they had been slow in making a decision, that they will get back to me. They never got back to me.
Perguntas de entrevista [1]
Pergunta 1
Tell me about a time that you made a mistake. How did you handle it?
Fiz uma entrevista na empresa Qualtrics (Seattle, WA).
Entrevista
Started with a Recruiter screen - overview about company
ML Knowledge - basics of LLMs and your relevant projects
LeetCode - two basic easy and med leetcode problems
Takes a long time to hear back after each round - better to reach out after each round to ask about next steps.