TikTok Interview Questions
Practice 291 real TikTok interview questions for 2026 — TikTok interview questions drawn from actual interviews with detailed solutions to support focused interview preparation. This collection emphasizes coding and system-design skills first (Coding & Algorithms, System Design), then moves to analytics, experimentation, SQL/Python, machine learning, and behavioral topics. Expect live coding (arrays, strings, trees, DP), mid-level system-design rounds that probe scale and video-recommendation tradeoffs, product-analytics and A/B discussion, and role-specific takeaways for data and ML roles. Prep by practicing medium-to-hard coding problems, sketching scalable architectures, rehearsing STAR stories tied to impact, and building short SQL/Python notebooks that reproduce common TikTok metrics. For role-specific patterns: Software Engineer rounds repeatedly test string/DP/stack problems, nested-list parsing, tree and linked-list manipulations, and designing scalable testable APIs. Data Scientists focus on metric definition and decomposition, fraud and precision/recall tradeoffs, live-creator and Watch-Time SQL, recommendation-bias and misinformation analysis, streaming-median and path-sum style algorithmic tasks, and multimodal deployment constraints. Machine Learning Engineers see dynamic-K models, video-captioning and multimodal embedding design under compute limits, attention/KV-cache topics, and ML diagnostics. Product Managers get flow critiques, A/B test design, monetization and anti-cheat product cases.

"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"

"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"

"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."

"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."

"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."

"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."

"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."

"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."

"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."

"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."

"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."

"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."

"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Compute widest level span in a binary tree
Given a binary tree, define the width of a level as the number of positions between the leftmost and rightmost non-empty nodes at that depth when node...
Format messages with paginated suffixes
You are given a message string s and an integer width w. Split s into multiple chunks, preserving character order, and append a suffix "i/n" to each c...
Compute city skyline silhouette
Compute the outer silhouette of a 2D skyline. You are given n axis-aligned rectangular buildings; each building i is (Li, Ri, Hi) with 0 <= Li < Ri an...
Handle disorganized interview logistics
Behavioral Prompt: Handling a Disorganized Interview Process (Software Engineer — Technical Screen) You are preparing for a Software Engineer technica...
Explain gap and project contributions
Behavioral/Technical Screen: Recent Work and Project Deep-Dive Context You are in a technical screen for a Software Engineer role. The interviewer wan...
Parse chemical formula with multipliers
Given a string representing a chemical formula, parse it and return the total count of each element. The formula may include element symbols (uppercas...
Walk through resume and resolve conflicts
Question Walk me through your resume. For each major project (use two representative ones, e.g. your most data- or systems-intensive work), cover the ...
How would you manage precision/recall for fraud detection?
Scenario You own (or significantly contribute to) a production fraud detection system that flags transactions/users as fraud vs legit. - The model out...
Explain your background and career choices
Behavioral Technical Screen: Resume Walkthrough and Career Narrative Context You will be asked to present a concise, impact-focused walkthrough of you...
Describe a data-heavy project
Behavioral/Technical: Data‑Heavy Project Deep Dive (Data Engineer) Describe one data‑heavy project from your resume. In your answer, cover the followi...
Write complex SQL for cohorts and retention
Given tables users(uid, created_at, country), orders(order_id, uid, amount, created_at, status), and events(uid, ts, event_type, campaign), write one ...
Align Conflicting Stakeholders for Successful Project Delivery
Behavioral: Aligning Conflicting Stakeholders Scenario Cross-functional projects often require coordination between data scientists, engineers, produc...
Predict Customer Churn with Machine Learning Workflow
Predicting Monthly Churn: End-to-End Workflow Scenario A subscription platform wants to predict whether a customer will churn in the next month. Assum...
Select max-discount product per category
You have a catalog of products. For each category, return exactly one product: the one with the largest absolute discount; if multiple products in the...
Explain motivations, background, and success metrics
Give a concise overview of your background in e‑commerce risk control (30–60 seconds). Then: (1) Why do you want to join our e‑commerce risk team spec...
Implement streaming SRM detector with late events
Implement a streaming detector for sample ratio mismatch (SRM) across many concurrent experiments. Input is two topic-partitioned streams: assignments...
Design recommendations objective balancing growth and monetization
Design a Multi-Objective Recommender for Long-Form Content You are designing the ranking objective and measurement plan for a long-form content recomm...
Design and evaluate a dasher bike rollout
Program Evaluation: Allow Car Dashers to Also Use Their Own Bikes/E-bikes Context DoorDash (DD) will relaunch an opt-in feature that lets existing car...
Communicate technical impact under skeptical stakeholders
Reframing a Multi‑Team Project for a Technical‑Only Hiring Manager Context You are a data scientist in a technical screen. You need to present a multi...
Detect and suppress bad sellers robustly
System Design: Identify and Suppress Bad Sellers in a Commerce Marketplace Context You are designing an ML-driven risk system for a large-scale market...