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Apr 25 · 6 min read · Uber coding interviews mix classic data structure work with problems that feel close to dispatch, routing, scheduling, and marketplace operations. You should expect a mix of technical screens, onsite rounds, and take-home tasks where the main signal ...
Join discussionApr 25 · 5 min read · TikTok coding interviews usually mix classic algorithm work with implementation tasks that feel close to production code. Across technical screens, onsite rounds, and take-home projects, you should expect arrays, graphs, trees, dynamic programming, a...
Join discussionApr 25 · 5 min read · Meta system design interviews usually push on product sense and scale at the same time. You are often expected to turn a vague product prompt into APIs, data models, ranking logic, consistency choices, and tradeoffs around latency, correctness, and c...
Join discussionApr 25 · 6 min read · Meta's Data Manipulation SQL interviews usually mix product sense with query mechanics. You are rarely solving a pure syntax exercise. The interviewer often wants to see how you define entities, handle messy event data, choose the right grain, and tu...
Join discussionApr 25 · 5 min read · Meta Analytics interviews usually focus on product judgment, experiment design, metric definition, and causal thinking. You're rarely being asked to produce a perfect formula on the spot. Interviewers want to see if you can frame a messy product prob...
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