I applied online. The process took 2 months. I interviewed at Yelp (San Francisco, CA) in Jun 2018
Interview
I applied for a role in the infrastructure team.
I was contacted by a recruiter to do a 15 minute hacker rank. The problem description was long, so be careful and make sure you understand it.
Following that, I had a 45 minute technical interview with an engineer. We talked about Yelp, my background, and he asked some general questions about scaling. I then answered a technical question on a live coding link. Following this stage, I had 2 final 45 minute interviews with an engineering manager and an engineer that were similar in format. Two weeks later, I got an offer.
Interview questions [1]
Question 1
How would you read in a file that was too big for main memory? What if you had multiple computers?
I applied through university. The process took 2 weeks. I interviewed at Yelp (Waterloo, ON) in Feb 2017
Interview
Pleasant Interview, the guy mentioned a couple of things about the company, talked about my projects, and asked me about some specifics. Asked about some technical knowledge and then went on to the technical question. Then there was another guy to do the behavioral interview, talked about the position itself and some of the things about yelp.
Interview questions [1]
Question 1
Easy implementation question, given a position, move it around based on a bunch of commands that would be given in a list.
I applied through university. The process took 2 months. I interviewed at Yelp
Interview
I applied for the data mining position. Started with a Hackerrank challenge. Then a Skype screen (45 minutes, talked about resume, NLP related questions about categorizing reviews and did a coding question). Finally two back to back 45 minute long Skype interviews, same as the phone screen.
The process took quite a while with some difficulty with availability initially. However the recruiters were always flexible with rescheduling.
Interview questions [1]
Question 1
If restaurant categories have integer IDs and some can be marked as duplicates of others, design a library to store and retrieve such duplicate sets. If you query an ID it should return the smallest duplicate. You should be able to mark duplicates etc.