Reddit Interview Questions

Reddit Interview Questions

Practice 35 real Reddit interview questions for 2026. Covers all top categories — coding & algorithms, ML and system design, analytics & experimentation, and behavioral leadership — across Software Engineer, Machine Learning Engineer, and Data Scientist roles. Real interview questions from actual interviews with detailed solutions; use this guide for interview preparation so you can target the exact skills Reddit evaluates. Expect a coding-and-systems-heavy loop: Software Engineer questions concentrate on merging message context windows, scalable game leaderboards, sliding-window rate limiters, feature-store CI/CD and reliability, comment-likelihood prediction platforms, and small competitive string/sequence puzzles. Machine Learning Engineer problems mix onboarding and recommendation-system design (comment ranking, video recs), click-prediction modeling, data-loading/JSON edge cases, and short algorithmic tasks. Data Scientist prompts emphasize A/B and non-experimental causal evaluation for ads and chat features (including synthetic-control reasoning), experiment design and power, SQL on US-based users and active forums, probability/estimation puzzles, prioritization, and communicating risk to PMs and engineers. Prep by drilling timed coding, system-design tradeoffs, experiment design and causal frameworks, SQL windowing and performance, production-model evaluation, and clear STAR stories for leadership questions.

35 Questions 1 Company07.30.2026
Showing 20 results
Role
Reddit logo
Reddit
Medium
Software Engineer

Implement a Stateful Chatter Message Store

Implement a Stateful Chatter Message Store Design a Chatter class that can load multiple ordered batches of messages, save its current messages, retur...

Software Engineering Fundamentals
2
0
27 people solved
Jul 30, 2026
Reddit logo
Reddit
Medium
Software EngineerSenior+

Defend a Schema Decision Through a Real Technical Challenge

Defend a Schema Decision Through a Real Technical Challenge Choose a system you worked on where the data model materially affected correctness, scalab...

Behavioral & Leadership
2
0
25 people solved
Jul 8, 2026
Reddit logo
Reddit
Hard
Data ScientistSenior+ Locked

Estimate Incremental Search-Ad Revenue Without an A/B Test

Practice estimating incremental search-ad revenue when 100 eligible users are randomly assigned to treatment outside a conventional A/B platform. Defi...

Analytics & Experimentation
4
0
35 people solved
Jun 24, 2026
Reddit logo
Reddit
Medium
Machine Learning EngineerSenior+ Locked

Design Comment Prediction Ranking System

This question evaluates proficiency in end-to-end machine learning system design for predicting user engagement, specifically the probability of a use...

ML System Design
17
0
203 people solved
Jun 4, 2026
Reddit logo
Reddit
Medium
Backend Engineer

Debug and Improve a Load Balancer

Debug and Improve a Load Balancer Clarifying Questions to Ask - Is the load balancer a single process exercise or a distributed production service? - ...

Software Engineering Fundamentals
3
0
39 people solved
May 6, 2026
Reddit logo
Reddit
Medium
Backend Engineer

Design Tennis Scoring with Pluggable Rules

Design Tennis Scoring with Pluggable Rules Prompt Design a small scoring component for one tennis game between two players. It must record which playe...

Software Engineering Fundamentals
3
0
30 people solved
May 6, 2026
Reddit logo
Reddit
Easy
Machine Learning Engineer Locked

Design a Tennis Scoring System

This question evaluates object-oriented design, state management, input validation, and the ability to model domain-specific scoring rules for a two-p...

Software Engineering Fundamentals
3
0
48 people solved
May 23, 2026
Reddit logo
Reddit
Medium
Software Engineer Locked

Moderator System with Ranking, Communities, and Demotion

This question tests practical data structure design and object-oriented system modeling, requiring the implementation of a hierarchical moderator mana...

Coding & Algorithms
1
0
23 people solved
Jun 23, 2026
Reddit logo
Reddit
Medium
Software Engineer Locked

Merge Message Context Windows

This question evaluates a candidate's skill in designing efficient algorithms and appropriate data-structure use for merging overlapping message conte...

Coding & Algorithms
22
0
186 people solved
Jan 23, 2026
Reddit logo
Reddit
Hard
Machine Learning Engineer Locked

Design comment ranking

This question evaluates competency in designing large-scale machine learning ranking systems, testing skills such as candidate generation, label and t...

ML System Design
21
0
153 people solved
Mar 2, 2026
Reddit logo
Reddit
Medium
Machine Learning EngineerSenior+

Model y from x and interpret distributions

Scenario You are given a dataset with one input feature x and a target y. The interviewer asks: “How would you model this?” Later, you are shown a plo...

Machine Learning
14
0
174 people solved
Feb 12, 2026
Reddit logo
Reddit
Medium
Machine Learning EngineerSenior+

Design a video recommendation system

Scenario You are designing an ML-driven video recommendation product (home feed + “up next”) for a consumer app. The interviewer focuses heavily on in...

ML System Design
30
0
306 people solved
Feb 12, 2026
Reddit logo
Reddit
Medium
Machine Learning Engineer Locked

Analyze CTR Data and Train Model

This question evaluates end-to-end supervised machine learning competencies for tabular click-through rate prediction, including exploratory data anal...

Machine Learning
8
0
109 people solved
Feb 1, 2026
Reddit logo
Reddit
Medium
Software Engineer

Explain How You Use AI in Engineering Work

Explain How You Use AI in Engineering Work Prompt How do you use AI-assisted tools in your day-to-day engineering work? Give one concrete example, exp...

Behavioral & Leadership
1
0
21 people solved
May 6, 2026
Reddit logo
Reddit
Easy
Data Scientist Locked

Design A/B test for AI chat box

This question evaluates skills in experimental design, product analytics, metrics selection, and causal inference relevant to a Data Scientist role in...

Analytics & Experimentation
8
0
87 people solved
Dec 11, 2025
Reddit logo
Reddit
Medium
Data ScientistSenior+

Query US-based users and most active forums

You are given user and post data for an online forum platform. Tables (schemas) Assume the following tables: users - user_id BIGINT (PK) - home_countr...

Data Manipulation (SQL/Python)
8
0
140 people solved
Sep 19, 2025
Reddit logo
Reddit
Hard
Machine Learning Engineer

Improve Reddit onboarding

How would you improve the onboarding experience for new users on a community platform similar to Reddit? Assume the goal is to help first-time users q...

Behavioral & Leadership
7
0
71 people solved
Mar 2, 2026
Reddit logo
Reddit
Medium
Machine Learning EngineerSenior+

Describe a failure and a success

Questions 1. Tell me about a time you failed (or something didn’t go as planned). What happened, what did you learn, and what would you do differently...

Behavioral & Leadership
9
0
98 people solved
Feb 12, 2026
Reddit logo
Reddit
Medium
Software Engineer

Design comment-likelihood prediction platform

Scenario You’re building an ML platform component that serves a model to predict the likelihood that a user will comment on a given post. The intervie...

ML System Design
18
0
135 people solved
Nov 10, 2025
Reddit logo
Reddit
Hard
Data Scientist

Design a causal evaluation without A/B testing

Non-Randomized Launch Decision via Synthetic Control: Complete Analysis Plan You need to make a go/no-go decision for a high-impact feature that canno...

Analytics & Experimentation
4
0
86 people solved
Oct 13, 2025

Frequently Asked Questions

How difficult are Reddit interview questions for Software Engineer, Data Scientist, and Machine Learning Engineer roles?
Difficulty depends on level, but expect mid-to-senior loops to be challenging and multi-dimensional. Software Engineer interviews emphasize algorithmic fluency (medium-to-hard coding), low-latency systems thinking, and practical system design tradeoffs. Data Scientist rounds test statistical intuition, experiment design, causal reasoning, and SQL-heavy analytics problems. Machine Learning Engineer interviews combine modeling, feature engineering, productionization, and data wrangling at scale. Behavioral and cross-functional judgment questions are weighed heavily across all levels. Performance is judged cumulatively across rounds, so a single weak answer can be offset but repeated gaps make offers unlikely.
What does the Reddit interview process look like and where do Reddit interview questions appear across rounds?
Typical processes include an initial recruiter screen, a hiring manager or phone screen, then 3–5 technical interviews and a final manager/leadership conversation. Coding & Algorithms and System Design questions appear in technical rounds for Software Engineers, while Data Scientists encounter analytics, A/B testing, and product-sense technical interviews plus SQL exercises. Machine Learning Engineers get modeling, data-prep, ranking/recommendation, and production-ML design questions. Behavioral & Leadership topics occur in almost every conversation. Depending on role and level, expect at-home tasks or take-homes for modeling or case-style analytics problems before or between interviews.
How should I structure a preparation timeline for 35 Reddit interview questions across these roles?
Plan 6–8 weeks of focused prep. Weeks 1–2: shore up fundamentals — data structures, algorithms, SQL, statistics, and ML basics. Weeks 3–4: role-specific practice — coding problem sets and timed mock interviews for SWE, experiment design and causal inference cases for Data Science, and end-to-end modeling plus data-pipeline exercises for MLE. Week 5: system design and production ML architecture rehearsals. Week 6–8: full loop mocks, behavioral STAR story polishing, and targeted review of weaker areas. Add short daily drills and at least two timed live mocks in the final two weeks.
What key subtopics should I prioritize when practicing Reddit interview questions?
Target the concrete themes interviewers ask about: for Data Scientists, prioritize A/B test and experiment design (including synthetic control and non-experimental causal evaluation), SQL queries for user and subreddit activity, product prioritization conversations, and probability/estimation puzzles. For Machine Learning Engineers, focus on comment and feed ranking, onboarding funnel modeling, video recommendation systems, click-prediction model building and evaluation, and robust JSON data ingestion and feature pipelines. For Software Engineers, practice merging message-context windows, sliding-window rate limiters, leaderboard and feature-store design with CI/CD and reliability considerations, plus string/sequence algorithm problems.
What standout tips and common pitfalls should I watch for when preparing for Reddit interview questions?
Standout tips: tie technical answers to Reddit’s product and community context, quantify assumptions, and describe tradeoffs and monitoring plans for production systems. For experimental questions, explain de-risking, power, and inference choices; for ML, show validation, offline-to-online metrics alignment, and data-quality checks. Common pitfalls: skipping clarifying questions, giving abstract answers without operational detail, ignoring edge cases or scale constraints, overfitting to toy examples, and weak behavioral narratives. Practice concise storytelling and testable designs; communicate iteration plans and failure modes rather than just ideal solutions.