I applied through an employee referral. I interviewed at Google DeepMind
Interview
Four stages of interviews: first a pre-interview chat with recruiter, then quiz interview, then host-matching interviews, then a culture-fit interview. My interviewers were all nice and helpful. The quiz interview is not difficult if you review your last machine learning and rl course.
Interview questions [2]
Question 1
What is a metric? What is a norm? How are they related?
I applied through an employee referral. I interviewed at Google DeepMind (London, England)
Interview
~5 interviews: initial phone screen, technical screen, research interviews with 2 different interested teams, hiring manager/culture fit screen. Technical screen was the most intense, the rest were pretty laid back.
Interview questions [1]
Question 1
What is linear independence, what is a pdf, how to invert a matrix efficiently, etc.
Don't apply to deepmind. They will waste your time by making you study for a technical quizz only to cancel all potential internship 2 weeks later. Deepmind is a disorganized company and this shows through lack of respect towards your time and energy.
The technical interview tests linear algebra, multivariable calculus fundamentals, probability and statistics fundamentals linear algebra, multivariable calculus fundamentals, probability & statistics fundamentals. It mostly covers first and second grade undergraduate contents.
