I applied through an employee referral. I interviewed at Google DeepMind (London, England)
Interview
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.
Interview questions [1]
Question 1
What is a hashtable? When should one be used? What is meant by collisions? What are some strategies for resolving collisions?
I applied through a recruiter. I interviewed at Google DeepMind (Zürich)
Interview
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
I applied online. I interviewed at Google DeepMind (London, England)
Interview
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.
I applied through a recruiter. I interviewed at Google DeepMind (London, England)
Interview
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.
Interview questions [1]
Question 1
A string parsing question where you evaluate a mathematical expression.
