Roblox Interview Questions
Practice 89 real Roblox interview questions for 2026 — real Roblox interview questions drawn from actual interviews with detailed solutions to power your interview preparation. This collection centers on coding and system-design challenges first (data structures, algorithms, scalable social systems and real-time services), then analytics, experimentation, SQL/Python data work, and behavioral leadership prompts. Expect multi-stage loops that mix timed coding screens, architecture/design interviews, product-analytics cases, SQL exercises, and STAR-style behavioral rounds. What’s evaluated: problem-solving speed, production-minded design tradeoffs, experiment rigor, and clear storytelling about impact. For Software Engineers, recurring themes include scalable social features (likes, counters, favorites), rate-limiting patterns (sliding-window and log-rate limiters), real-time matchmaking and recommendation architectures, and log-processing/ranking problems. Data Scientists face causal-inference and experimentation questions (DiD, sample-size and posterior/Bayes calculations), applied modeling and feature ranking (logistic regression, normalization), SQL analytics for follower/influence metrics, and algorithmic coding tasks. Machine Learning Engineers see streaming counters, per-client rate extensions, logging telemetry, and real-time recommendation design. Prep by practicing medium-to-hard coding problems, system-design sketches, A/B testing math, end-to-end SQL + Python analytics, and concise STAR stories.

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"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
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Design a Played-By Summary System
Design the backend system that powers a single line of social proof on a game's detail page, such as: > Alice, Bob, and 12,345 people have played this...
Design Multi-Dimensional Request Rate Limiting
Design a rate limiter for a backend service that runs across multiple application servers. The system must decide, for every incoming request, whether...
Design a Game Recommendation System
Design an end-to-end machine learning recommendation system for a large online gaming platform (think of a creator marketplace with millions of user-g...
Design a Scalable Likes System
Design a scalable likes service for a large consumer application. Users can like and unlike an item. The system must support these functional requirem...
How to estimate a feature’s causal impact on time spent
You work on a Roblox-like game platform. A new product change ("feature") is rolled out and you want to estimate its causal impact on user engagement,...
Design a game genre classifier
Design an end-to-end machine learning system that classifies a video game into one or more genres from scratch. Assume you are building this for a gam...
Design favorites and social game recommendations
Problem Design a backend system for a gaming app that supports: 1. Favorites ("Fav"): users can favorite/unfavorite games and view their favorites lis...
How to estimate feature impact on usage time
Problem A product team believes a new feature (or a variable you can influence, e.g., enabling notifications, new feed ranking, new UI) changes user t...
Design a rate limiter
Problem: Design a Rate Limiter Design a rate limiting service to protect an API from abuse and to provide fair usage. Requirements - The API gateway (...
Find the Most Frequent Log Call
You are given a sequence of application log entries. Each entry contains the name of a function or API call made by the system. Write a function that ...
Rank queries by prefix, frequency, and time
You are given three arrays of the same length n: - queries[i]: a non-empty string representing the text of the i-th query. - timestamps[i]: an integer...
Find target-heavy sliding windows
Given an integer array nums, an integer target, and a fixed window size k, solve the following two tasks: 1. Return all contiguous subarrays of length...
Write SQL for influence score and follower growth
You are working on a social product with these tables: Tables / Schemas users - user_id BIGINT (PK) - created_at TIMESTAMP posts - post_id BIGINT (PK)...
Design a scheduled payment system
System Design: Scheduled Payment Service Context You are designing a backend service that allows end users to: - Schedule a payment for a future date/...
Implement robust one/two-sided p-value function
Implement p_value(stat, alternative, dist, df=None) Context: You're building a small, production-quality helper to compute p-values for common one- an...
Design a game recommendation modeling approach
Scenario You are building a personalized game recommender for a consumer app/store. The goal is to recommend a ranked list of games to each user to in...
Find maximum follow depth using recursion
You are given a directed follows relationship representing a social graph: - Each record (follower_id, followee_id) means follower_id follows followee...
Compute minimum sample size for A/B test
You are implementing a function to compute the minimum total sample size for an A/B test. You are given: - observed: a 1D array of historical/baseline...
Compute DID estimate and pretrend flag
You are given three equal-length arrays describing observations from a panel-like dataset: - period[i] ∈ {0,1}: 0 = pre period, 1 = post period - trea...
Compute DiD and validate parallel trends
You are given observational/experiment-like panel data as three equal-length arrays: - period[i]: an integer time period label for observation i (e.g....