The technical round consisted of 3 interviews (math, ML, computer science), each one hour online. The interviews were more like conversations to grasp what knowledge you have. I did not qualify to be invited to the team-specific interviews.
Interview questions [1]
Question 1
Math: - Describe what convex function is? Why do we want convex functions? - What is gradient descent? What are second-order optimisation algorithms? How can the 2nd derivative be used in an optimisation algorithm? - Describe Newton's method? Where does it come from? How can it be adapted to find a minimum in a function? - What is the formula for the Taylor series? Why does it make sense? Why is there a 1/n! in the formula? - What is Bayes' Formula? Can you give an example? - What is an invertible matrix? What are the criteria that apply? What are the procedures to invert a Matrix? Can you describe the Gauss Process to invert a matrix?
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.
