Company
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.
10 easy117 medium33 hard
ByteDance interview questions by the numbers
Last updated
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.
Topics
- Coding & Algorithms44% · 71
- System Design11% · 17
- Behavioral & Leadership9% · 14
- Machine Learning8% · 13
- ML System Design4% · 6
- Statistics & Math2% · 3
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
Most mentioned in interview experiences
- 1.Describe your key projects and impact4 reports
- 2.Check Whether Every Course Can Be Completed Under Prerequisite Rules2 reports
- 3.Count House Segments After Sequential Demolitions2 reports
- 4.Describe your most challenging project and leadership2 reports
- 5.Merge overlapping closed intervals into a sorted list of disjoint intervals2 reports
- 6.Tell me about your fit2 reports
- 7.Add TTL to an LRU cache1 report
- 8.Assess TikTok's ecosystem1 report
- 9.Balance monetization with user experience1 report
- 10.C++ vs Go for Backend Services: Memory, Concurrency and Trade-offs1 report
Counted from 29 candidate interview experiences on Katkat. How we collect and count
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 & AlgorithmsOnsiteThis 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 ScreenThis 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 & AlgorithmsOnsiteThis question tests your understanding of thread-safe synchronization primitives, priority queues, and robust resource management in a multi-threaded Python environment.
ByteDanceSoftware EngineerSoftware Engineering FundamentalsOnsitePractice 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 ScreenThis 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 ScreenPrepare 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 ScreenThis 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 ScreenThis 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 ScreenThis 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 DesignOnsiteThis 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 ScreenExplain shared-pointer control blocks, copy and move semantics, lifetime invariants, exception safety, and the limits of reference counting.
ByteDanceSoftware EngineerSoftware Engineering FundamentalsTechnical ScreenThis problem tests your ability to design a flexible, extensible rule-processing engine that handles sequential and interdependent validation logic.
ByteDanceSoftware EngineerSoftware Engineering FundamentalsTechnical ScreenThis 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 DesignOnsiteDesign 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 ScreenThis question tests the ability to design a scalable, low-latency rate limiting service that functions across multiple distributed application servers.
ByteDanceSoftware EngineerSystem DesignOnsiteThis 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 DesignOnsiteDesign a monitoring dashboard that separates data freshness from query latency, with ingestion, rollups, browser updates, and stale-data handling.
ByteDanceSoftware EngineerSystem DesignTechnical ScreenA 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 DesignOnsiteThis 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 ScreenThis 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 DesignOnsiteThis problem tests the ability to design a multi-stage recommendation pipeline that balances real-time personalization, system latency, and content diversity.
ByteDanceSoftware EngineerML System DesignOnsiteDesign 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 ScreenA 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 ScreenSystem 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 DesignOnsiteDesign 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 ScreenDesign an e-commerce platform with searchable catalogs, carts, atomic inventory reservations, idempotent checkout, payment recovery, and reliable order state.
ByteDanceSoftware EngineerSystem DesignTechnical ScreenThis 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 ScreenThis 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 ScreenThis 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 2026Rejected
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 2026Rejected
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 2026Rejected
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 2026No 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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