Preparing for a Google technical interview

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GroupLens students and alumni successfully interview at Google on a regular basis. Several current GroupLens students have interned at the company, and our alumni have become Google research scientists and software engineers. I collected the following technical interview preparation tips from Google recruiters and engineers. Please ask your recruiter if you need confirmation of anything below, as the interview structure changes over time. This advice applies to other companies that are interested in similar problems or which hire the same types of engineers. And if you’re interviewing for an internship instead of a full-time job, there will be a different standard; not necessarily harder or easier, just different, based on the type of student you are and your other interests.

Technical interviews are each about 45 minutes long. There is no dress code. You will code on a whiteboard, showing the interviewer your thought process by talking through decisions and assumptions. Occasionally a video chat and collaborative document allows you to interview from a distance, or a piece of paper substitutes for the whiteboard during in-person interviews. Interview topics may cover anything on your résumé, especially where you claim expertise. Fundamental computer science knowledge is required for all engineering roles at Google and will form the basis for almost all interview questions. Google wants to see if you can take a hard, big problem for which you don’t know an obvious solution, and break it down into manageable solvable parts for which you can provide reasonable runtime and space bounds.

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College guidance platform PossibilityU forms research partnership with GroupLens

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White House, Department of Education, and Chronicle of Higher Education highlight our college recommendation software

PossibilityU logo

Two organizations have joined forces to answer important questions related to how search, discovery and recommendation online are affecting student college choices. PossibilityU, an innovative college guidance platform, and GroupLens, a research lab dedicated to recommender systems and online communities in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities, announced a research partnership to explore how college recommendations online can effect a broad range of student outcomes.

For the past 3 years, PossibilityU’s unique college guidance program has been matching high school students across the country with colleges that match their talents, aspirations and family budgets. The program features guided inquiry, data visualizations and personalized, Netflix-like recommendations—all designed to give students confidence in their choices. PossibilityU also features a blended-learning video curriculum created to help students and parents become better consumers of higher education.

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