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ByteDance interview notes, page 27 of 29

FAANG / Big Tech

Most of these ByteDance write-ups come from Software Engineers (194), then Machine Learning Engineers (45) and Data Scientists (17). The most reported rounds are the technical phone screen (227), the system design round (28), the behavioral / leadership round (16) and the onsite coding round (9).

289 interview notes · updated Sep 2026

ByteDance·Software Engineer·Onsite - Behavioral / Leadership

Jun 2026
Behavioral round at Bytedance for a software engineering role. About 30 minutes, and the interviewer went straight into the resume and started picking things apart. No warmup, just context, decisions, and results for whatever caught their eye.
  • Walk me through a specific project on your resume. What was the context, what did you personally contribute, and what trade-offs did you make?
  • What were the technical decisions behind a role or project you listed, and what would you do differently now?
  • What were the measurable results of the project, and how did you know it was successful?
  • What did you personally own versus what was a team effort on this project?
  • What lessons did you take away from this experience and how have they changed how you work?

“This is the core of the whole round.”

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ByteDance·Software Engineer·Onsite - Behavioral / Leadership

Jun 2026
Behavioral round at Bytedance for a software engineer role. Just one question but it had a lot of layers to it, more than I expected going in.
  • Tell me about a time you over-engineered something. What were the signs it was too complex, when did you realize it, how did you simplify it, and what changed about how you approach design since then?

“This one has four parts and I only really nailed two of them.”

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ByteDance·Software Engineer·Onsite - System Design / Architecture

Jun 2026
Bytedance system design round focused entirely on content moderation infrastructure. The scope was massive and the follow-up on job scheduling felt like a second interview crammed into the last 15 minutes.
  • Design a content moderation system that handles text, image, and video content, covering ingestion, real-time and async moderation paths, ML infrastructure (feature pipelines, model serving, training data labeling, human review queues, model registry), appeal workflows, and policy versioning.
  • How would you design a high-frequency task scheduler for moderation jobs, including a priority queue, worker pool, at-least-once delivery semantics, and mechanisms to prevent starvation and back-pressure?

“This one was a lot.”

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ByteDance·Software Engineer·Technical Phone Screen

Jun 2026
Bytedance software engineer interview that zeroed in on graph algorithms, specifically topological sort. Pretty standard for this kind of role but they wanted you to know both approaches cold, not just one.
  • Given a directed acyclic graph with n nodes and a set of edges, return a valid topological ordering of the nodes. If the graph has a cycle, return an empty list. Be ready to discuss both BFS-based and DFS-based approaches.

“They wanted both solutions, not just one.”

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ByteDance·Software Engineer·Technical Phone Screen

Jul 2026
Bytedance SWE interview with a classic dynamic programming problem. Nothing too wild but it's the kind of question that punishes you if you only half-remember the solution.
  • Given an array of integers, find the length of the longest strictly increasing subsequence.

“Classic LIS problem.”

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ByteDance·Software Engineer·Technical Phone Screen

Jul 2026
Pretty short Bytedance software engineer screen, just a self-intro and one behavioral question about a project I was proud of. Nothing too intense but I still stumbled a bit.
  • Tell me about a project you're most proud of.

“I picked a project I'd worked on for a while but fumbled the delivery a bit.”

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ByteDance·Backend Engineer·Technical Phone Screen

Jul 2026
Bytedance backend screen, pretty standard networking fundamentals territory. One question, quick session, nothing too wild.
  • Can you explain what TCP and UDP are and walk through the key differences between them?

“Knew this one cold so I rattled off connection-oriented vs connectionless, reliability guarantees, ordering, handshake overhead.”

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ByteDance·Machine Learning Engineer·Technical Phone Screen

Jul 2026
Bytedance ML engineer interview that was basically a deep dive into one coding problem. The question looked like a deque at first but the O(1) search requirement is what makes it actually hard.
  • Design a data structure backed by a fixed-capacity circular array that supports insert and remove at both ends, plus a search operation, all in O(1) time.

“The push/pop stuff I had down pretty quick, circular buffer with head and tail indices is pretty textbook.”

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ByteDance·Data Scientist·Technical Phone Screen

Jul 2026
Interviewed for a Data Scientist intern role at Bytedance on their short-video platform side. Three meaty prompts back to back, all centered on a real project from my resume. The product research and creator engagement questions were the ones that tripped me up the most.
  • Walk us through a recent data or ML project: the business problem, the data, your role, how you handled preprocessing and the bias-variance tradeoff, and how you chose your evaluation metrics and tied them back to the business goal.
  • If the company were to launch the feature or product you built, how would you design the research plan before and after launch? Cover your hypotheses, user segments, data needs, experiment design, success metrics, guardrail metrics, and how you'd make the go/no-go call.
  • You have a metric tracking new users who registered and posted at least once on the same day. The company wants to improve creator engagement. How do you analyze this and what do you recommend?

“I picked a recommendation model project and it went okay until they pushed on the bias-variance piece.”

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ByteDance·Software Engineer·Technical Phone Screen

Jul 2026
Bytedance SWE interview with a system design question that was barely two sentences long, no hints, no clarifying context. Managed to piece together an answer but it was a bit of a scramble.
  • Design a system to find the top K most frequent elements from a large data stream.

“Two sentences.”

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