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ByteDance interview questions

160 practice questions in the style of ByteDance's interviews, covering Software Engineering Fundamentals, Coding & Algorithms, Product Design & Strategy, Product / Decision Making, Statistics & Math, Data Manipulation (SQL/Python), Machine Learning, Behavioral & Leadership, System Design, ML System Design, Analytics & Experimentation.

Questions160

10 easy117 medium33 hard

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ByteDance interview questions by the numbers

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Katkat has 160 ByteDance interview questions. The largest topics are Coding & Algorithms (44%), Software Engineering Fundamentals (16%) and System Design (11%). By difficulty: 6% easy, 73% medium and 21% hard. The most common round is Technical Screen (73%). Frequent concepts include System Design, Distributed Systems, Algorithms and Concurrency.

Difficulty

  • Easy6% · 10
  • Medium73% · 117
  • Hard21% · 33

Interview rounds

  • Technical Screen73% · 117
  • Onsite21% · 34
  • HR Screen3% · 5
  • Online Assessment3% · 4

Roles

  • Software Engineer63% · 100
  • Data Scientist12% · 19
  • Machine Learning Engineer7% · 11
  • Site Reliability Engineer6% · 10
  • Product Manager4% · 6

Frequent concepts

  • System Design10% · 16
  • Distributed Systems8% · 12
  • Algorithms6% · 10
  • Concurrency4% · 7
  • Data Structures4% · 7
  • Recursion4% · 7

Showing 31–60 of 160 results

  • This question evaluates the ability to apply modular arithmetic, frequency tracking, and prefix-count reasoning to efficiently count subarrays that satisfy a congruence condition, testing algorithmic problem-solving and scalable complexity management.

    ByteDanceMachine Learning EngineerCoding & AlgorithmsOnsite
  • This problem tests the ability to navigate tree structures and use hash maps to track cumulative path sums efficiently, specifically in the context of an N-ary tree.

    ByteDanceSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This problem tests the ability to detect cycles in a directed graph using topological sorting or Depth First Search, ensuring all task dependencies can be resolved.

    ByteDanceSoftware EngineerCoding & AlgorithmsOnsite
  • This question tests your understanding of thread-safe synchronization primitives, priority queues, and robust resource management in a multi-threaded Python environment.

    ByteDanceSoftware EngineerSoftware Engineering FundamentalsOnsite
  • Practice defending a database design by connecting schema choices, indexes, consistency behavior, and concurrency controls to concrete access patterns. The solution explains how to reason about CAP trade-offs, lost-update prevention, transaction boundaries, and the operational cost of each index.

    ByteDanceSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
  • This question evaluates engineering judgment, trade-off analysis, and product-oriented UX skills by probing examples of over-engineering and measurable user-experience improvements.

    ByteDanceSoftware EngineerBehavioral & LeadershipTechnical Screen
  • Prepare TikTok platform PM behavioral deep-dive answers for self-introduction, successful projects, ownership, difficulties, scale, strengths, weaknesses, job changes, and team fit. The solution emphasizes STAR storytelling, platform impact, metrics, and positive motivation.

    ByteDanceProduct ManagerBehavioral & LeadershipTechnical Screen
  • This question evaluates leadership, project management, technical problem-solving, decision-making, and communication competencies by probing project goals, constraints, specific responsibilities, trade-offs, and outcomes.

    ByteDanceSoftware EngineerBehavioral & LeadershipTechnical Screen
  • This question tests your ability to design a distributed asynchronous processing pipeline that manages entity relationships, handles API retries, and maintains state consistency across multiple dependent components.

    ByteDanceSoftware EngineerSystem DesignTechnical Screen
  • This question tests your ability to design a distributed streaming data pipeline that balances high-throughput ingestion with low-latency analytical queries for country-specific rankings.

    ByteDanceSoftware EngineerSystem DesignOnsite
  • This question evaluates competency in machine learning system design for fraud detection, focusing on modeling buyer–seller–item–transaction relationships, feature engineering across graph, temporal, behavioral and account-linking signals, and production concerns; it is in the ML System Design domain and emphasizes practical application and system-level architecture over purely theoretical concepts. It is commonly asked to assess a candidate’s ability to reason about data collection and labeling, model and rule trade-offs, evaluation metrics, scalability and deployment trade-offs when detecting coordinated or self-dealing activity in marketplace environments.

    ByteDanceMachine Learning EngineerML System DesignTechnical Screen
  • Explain shared-pointer control blocks, copy and move semantics, lifetime invariants, exception safety, and the limits of reference counting.

    ByteDanceSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
  • This problem tests your ability to design a flexible, extensible rule-processing engine that handles sequential and interdependent validation logic.

    ByteDanceSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
  • This problem evaluates your ability to design a scalable, multi-modal content moderation system that filters user-uploaded media using both automated ML inferences and human review workflows.

    ByteDanceSoftware EngineerML System DesignOnsite
  • Design a centralized, governed data serving platform that provides downstream consumers with stable query APIs, schema evolution safety, cursor-based exports, and data freshness metadata.

    ByteDanceData EngineerSystem DesignHR Screen
  • This question tests the ability to design a scalable, low-latency rate limiting service that functions across multiple distributed application servers.

    ByteDanceSoftware EngineerSystem DesignOnsite
  • This question tests your ability to design a distributed, high-frequency job scheduling system that handles millions of tasks with varying priorities while ensuring reliability and strict execution guarantees.

    ByteDanceSoftware EngineerSystem DesignOnsite
  • Design a monitoring dashboard that separates data freshness from query latency, with ingestion, rollups, browser updates, and stale-data handling.

    ByteDanceSoftware EngineerSystem DesignTechnical Screen
  • A time-boxed system design question asking for a high-level payment system that charges users through an external payment provider. It tests the end-to-end checkout flow, idempotent retries, a payment state machine and ledger, asynchronous provider notifications, reconciliation and failure handling.

    ByteDanceSoftware EngineerSystem DesignOnsite
  • This question tests the ability to architect a scalable Retrieval-Augmented Generation (RAG) system that handles document indexing, retrieval, and multi-step reasoning while maintaining low latency and data freshness.

    ByteDanceSoftware EngineerML System DesignTechnical Screen
  • This question evaluates a candidate's ability to design a real-time, high-throughput distributed system focusing on API design, concurrency control, ordering guarantees, idempotency, persistence of bid history and state transitions, and real-time push/update mechanisms.

    ByteDanceSoftware EngineerSystem DesignOnsite
  • This problem tests the ability to design a multi-stage recommendation pipeline that balances real-time personalization, system latency, and content diversity.

    ByteDanceSoftware EngineerML System DesignOnsite
  • Design a live comment overlay that stays synchronized with a video during live viewing, replay, seeking, and reconnects. Explore timeline semantics, stable ordering, scalable fanout, replay queries, moderation, backpressure, and graceful degradation during traffic bursts.

    ByteDanceSoftware EngineerSystem DesignTechnical Screen
  • A system design question about a ticket booking system for high-demand on-sales. It probes how to absorb the traffic spike when sales open with load balancing, waiting rooms and rate limiting, and how to manage inventory with holds, payment-timeout release and consistent cache and database updates so that no ticket is ever sold twice.

    ByteDanceSoftware EngineerSystem DesignTechnical Screen
  • System design question: design a payment system that places real-time holds on funds and settles them in batches, then explain how retries avoid double charges. It probes idempotency at every hop, payment state machines, double-entry ledgers, consistency across an external processor, reconciliation, and recovery from specific failures.

    ByteDanceSoftware EngineerSystem DesignOnsite
  • Design an end-to-end multi-agent QA platform that autonomously transforms feature requirements into validated test cases, synthetic data, executable test scripts, and traceable execution reports with human-in-the-loop oversight.

    ByteDanceSenior SDE, Quality Platform & AI Test AutomationML System DesignTechnical Screen
  • Design an e-commerce platform with searchable catalogs, carts, atomic inventory reservations, idempotent checkout, payment recovery, and reliable order state.

    ByteDanceSoftware EngineerSystem DesignTechnical Screen
  • This question evaluates a candidate's ability to design production-grade LLM agents that integrate external tools, manage long-running and branching workflows, persist complex state, and ensure safety, observability, and reliable evaluation in enterprise settings.

    ByteDanceMachine Learning EngineerML System DesignTechnical Screen
  • This problem tests your ability to design a normalized relational database schema that implements Role-Based Access Control (RBAC) to support hierarchical users, roles, and resource-level permissions.

    ByteDanceSoftware EngineerSystem DesignTechnical Screen
  • This problem tests the ability to optimize a brute-force approach into an efficient search using sorting and the two-pointer technique to satisfy a geometric condition.

    ByteDanceSoftware EngineerCoding & AlgorithmsOnsite

ByteDance interview experiences

All 30 →
  • Research Talk, Model Questions and a Fishing Pond Coding ProblemByteDance · Machine Learning Engineer · New Grad · Technical Screen · Oct 2026

    First was a self-introduction, then I introduced my research. He said I could share slides if that would make things clearer. I happened to be preparing my proposal recently, so I shared my slides, and it definitely felt better than just talking through it. He asked some questions based on my work, normal follow-ups. Interestingly, he also brought up jev and asked whether I follow it. Then on the…

  • E-commerce Backend, One Technical Round Ending on Spiral Matrix Follow-upsByteDance · Software Engineer · Intern · Technical Screen · Sep 2026
    Rejected

    TikTok SWE Intern, E-commerce Backend. Referral. One virtual round. Rejected. Background Applied through a referral. Position and team: E-commerce Backend. Timeline 08/06 applied 08/07 received the OA 08/23 HR scheduled the interview 09/11 first technical round 09/26 got the result (rejected) Round 1, Technical (1 hr) The interviewer spoke Chinese and the whole thing was in Chinese. Self-introduc…

  • Failed the TikTok LIVE Phone Screen on Graph ColoringByteDance · Software Engineer · Technical Screen · Sep 2026
    Rejected

    The role came from a TikTok HR reach-out. There was no HR call, they only asked about my sponsorship situation over email and then scheduled a 1-hour phone interview. The interview was on HackerRank. I started with a self-introduction, then a behavioral question: tell me about a challenge. After that came a LeetCode problem, Possible Bipartition: > Split a group of n people (labeled from 1 to n)…

  • Rejected After a TikTok Trust & Safety System Design Round on a Video Moderation PipelineByteDance · Software Engineer · Technical Screen · Sep 2026
    Rejected

    Interviewed in June. Second round: system design interview, 1 hour. Project deep-dive (about 20 minutes). System Design — Video Content Moderation System Question: design a simplified video content moderation system. The interviewer scoped it very clearly: I didn't need to design the video upload part — assume there's already a system that pushes uploaded videos to you. What I needed to design wa…

  • Three Rounds and an HR Call, Then SilenceByteDance · Software Engineer · Onsite · Sep 2026
    No response

    I interviewed with TT USDS: three rounds, then an HR call, and then I never heard anything back. I don't know whether I got rejected. Round 1: two coding questions, LeetCode 3 and LeetCode 210. Round 2: a variant of LeetCode 207. I forgot how it was changed. For the rest of the time they kept asking me tech questions about monitoring, tracing, and telemetry. Round 3: system design. Design a payme…

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