J'ai postulé via la recommandation d'un employé. J'ai passé un entretien chez Google DeepMind (Londres, Angleterre)
Entretien
Mostly standard software engineering questions, (quiz on data structures, some programming questions, a coding comprehension task) with some elements of basic machine learning competence (e.g., describe and explain Bayes’ theorem, give the definition of a metric space, etc.). They asked about ML projects listed on my CV, and asked to explain the technical details of implementation.
Questions d'entretien [1]
Question 1
What is a hashtable? When should one be used? What is meant by collisions? What are some strategies for resolving collisions?
J'ai postulé via un recruteur. J'ai passé un entretien chez Google DeepMind (Zurich)
Entretien
Describe your research papers and then a coding questions plus tehcnical and theoretical questions in the field of deep learning relevant to the role. THen questiosns for myself and scenario based and what I would do if i had a problem with one of my coworkers etc
J'ai postulé en ligne. J'ai passé un entretien chez Google DeepMind (Londres, Angleterre)
Entretien
two data structures and algorithms problems over virtual interview. Standard leetcode prolems at medium/hard level. Interviewers were not helpful. Asked difficult follow up questions. One spoke poor english and was difficult to understand.
J'ai postulé via un recruteur. J'ai passé un entretien chez Google DeepMind (Londres, Angleterre)
Entretien
Three stages, 1) Recruiter call, 2) 2 Coding Interviews + 1 ML Fundamentals interview, 3) ML Design + an interview with the Lead Researcher
I failed at the second stage, where I sadly didn't do well in one of the coding interviews. Both the coding interviews were Leetcode mediums, and the ML fundamentals one was what you would expect: optimization, regularization, loss functions, transformers, as well as practical training and inference questions.
Questions d'entretien [1]
Question 1
A string parsing question where you evaluate a mathematical expression.