6 ms·
I averaged somewhere between one and two interviews per week during my 4 years with Google. Google has (or at least had) more applicants than they can shake a
by KMag 14y ago
I averaged somewhere between one and two interviews per week during my 4 years with Google. Google has (or at least had) more applicants than they can shake a stick at. They have the choice between smart people who can look up things on the Internet but aren't interested enough to memorize the basics, and smart people who are interested enough in the subject matter to have the basics memorized (or at least are smart enough to put on a good show of loving the subject matter).
Maybe having the basics memorized isn't necessary for the job, but it's a good signal that you're not a zombie banging out code without really being interested or thinking critically about what you're doing. It's not a perfect signal, but it's still a useful signal.
Everyone knows you need to know your basic data structures for a Google interview. If you don't know your data structures, cram for a week or two before your interview. The basic data structures are just the basic starting point for the data structures interview questions. The interviewer needs to know you know the basic data structures before they start throwing curveballs at you to see how you think about and solve hard data structures problems. The people who think they're too smart or too cool for the basic data structures questions are just going to drown, so if they bomb the basic data structures questions, the interviewer justs moves on and pretends that was where the question ended. There's no sense in frustrating the interviewee and making the whole company look mean and forcing the interviewee to answer questions they lack the background knowledge to begin solving.
On top of that, if you can't even be bothered to cram some basic data structures for an interview, you're not going to fit in well at Google.
I also asked some constrained bin packing questions, related to scheduling distributed computations in a cluster and placing files in a distributed filesystem, but I'd simplify the problem a bit and make up some slightly silly story about kids selling candy or something. The simplification and the non-computer back story helps reduce the amount of assumed specialized knowledge, and keeps people from over-thinking the thing, thinking it's a trick question, or otherwise running off into the weeds.
Silly stories really do help people accept the simplified problem and not get lost thinking they're supposed to be thinking outside the box. If you ask a question about networking, people will suggest reducing the number of intermediate switches or maybe even swapping the network media with something with a higher signal propagation velocity. Rephrase it as kids playing Pokemon with cards, and they're moere likely to notice that O(N^2) network traffic can be reduced to O(Log(N)).
Some people just thought some problem involving candy or trading cards instead of computers was beneath them and silly, obviously missing that the underlying problem had real implications for computing at massive scales. If they got upset about the problem, I just let it go, since arguing with them or making them feel dumb by pointing out the isomorphism would just rile them up for their next interviewer. I usually genuinely hoped they'd do better with the next interviewer. Good engineers are hard to find, and if I'm the only person they rubbed the wrong way, they're unlikely to be working with me anyway.
If you notice how the simplified silly problem is probably related to a real problem the interviewer has had to solve, it's probably best to make a nonchalant comment. "Oh, so it looks like a constrained bin packing problem, maybe with applications in distributed storage or distributed process scheduling, or something like that. Let's see, you said the Hershey Bars can't be kept near dogs, so let me think about the heuristic of allocating them first. They're each $X and Y Calories, so ..."
If you think an interview question is silly, make sure you hide that opinion well from the interviewer. You're likely missing something, especially if your interviewer appears otherwise bright.
- shawn-butler 14y agoSounds like a fraternity hazing ritual to me. I'm curious your target have access to Google.com during your "interview"? Also what is going to happen to your hazing process when people start walking in with Google glass? If your canned intelligence test questions gave been recorded and indexed aren't you going to feel a little silly? If a company is using f2f interviews to "weed" out candidates they either have a very broken recruitment team or really think so highly of themselves that they are in need of a wakeup call. For having such a reputation as an innovative company it sure seems odd to rely on an antiquated process that seems straight out of the social eugenics movement of the 1930s.
- twoodfin 14y agoHow would you recommend an interviewer figure out if a candidate has a strong background in data structures and algorithms?
- shawn-butler 14y agoIf I had the resources of a Google I would innovate a solution so that the interviewer can focus on the problem that she is actually trying to solve: determining fitness. Compare this for example to the NFL combine. Or the amount of time and money put into farm systems, feeder teams, and scouting reports. Why not pay the candidates to solve an engineering problem and judge the output? I don't have the answer, but I'm fairly certain that there has to be a better way than stress traps and good-ole-boy networks. I work very hard to tailor my interview questions to the actual background of each particular applicant so that they can in efffect ask their own questions and demonstrate ability (ala "oh that's interesting how did you solve that problem, and what if you did this instead how would that work in the design, here's a whiteboard show me, etc). It is very hard and I regret very much the "good hires" I have probably let go because they couldn't engage well with me or talk about their own experience well. This obviously takes time and effort so I depend on recruitment/referrals properly to weed out wastes of time. Is anybody working on this problem? It seems clear google isn't and HR innovation is extremely profitable.