Nextdoor Interview Questions
Nextdoor's 25 questions lean harder on machine learning than a bank this size usually does: 8 came from Machine Learning Engineer loops and 3 from Data Engineers, next to 11 Software Engineer interviews and one iOS candidate. Coding is still the largest block at 12 questions, and the problems are workmanlike rather than exotic. You order items under dependency constraints, or write a version string comparator that survives extra segments and odd suffixes. The design side is about growth headroom, including a job scheduler that has to keep working when load rises a hundredfold. One prompt hands you a Colab notebook and asks you to build and evaluate a classification model, closer to a working session than a whiteboard. What is missing tells you something too: 22 of these were technical screens and 2 were HR screens covering resume walkthroughs, motivation and logistics, with no onsite rounds on record, so this slice describes the top of the funnel. 17 are medium and 6 hard, 11 open a console, and 13 come with a written solution.
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