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ByteDance interview notes, page 4 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·Machine Learning Engineer·Technical Phone Screen

Apr 2026
Interviewed for an ML Engineer role at Bytedance and got a dynamic programming problem on longest common subsequence. Pretty standard algorithmic round but it still made me second-guess my approach mid-way through.
  • Given two strings, find the length of their longest common subsequence. Return 0 if none exists.

“I knew it was a DP problem pretty quickly but then fumbled explaining the recurrence relation out loud.”

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ByteDance·Software Engineer·Technical Phone Screen

Apr 2026
Bytedance SWE interview with a coding question that extended the classic integer square root problem into floating point territory. Pretty straightforward if you've seen binary search on real intervals before, but the precision angle adds enough complexity that it's worth thinking through carefully.
  • Given a non-negative integer and a precision value, return the square root of the integer rounded (or truncated) to that many decimal places. Be ready to discuss multiple approaches and their time complexities.

“I went with binary search on a real interval and it worked, but I fumbled the complexity analysis for a bit.”

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ByteDance·Software Engineer·Technical Phone Screen

Apr 2026
Bytedance software engineer interview with a graph problem that looks straightforward until you actually have to implement it cleanly under pressure.
  • Given a number of courses and a list of prerequisite pairs, determine whether it's possible to complete all courses without getting stuck in a circular dependency.

“Classic cycle detection problem dressed up as a scheduling question.”

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ByteDance·Machine Learning Engineer·Technical Phone Screen

Apr 2026
Bytedance ML engineer screen, one meaty coding question that was basically a math implementation with a gotcha baked in. Felt more like a numerical methods quiz than a typical coding round.
  • Implement the softmax function in a numerically stable way. Given a 1D array of logits (or a batch), return softmax probabilities. Be prepared to explain why you subtract the max before exponentiating and how this connects to log-sum-exp.

“I knew the formula cold but fumbled the first version by just writing exp(x) / sum(exp(x)) and they immediately asked what happens with large values.”

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ByteDance·Software Engineer·Technical Phone Screen

Apr 2026
Bytedance SWE interview, one coding round focused on array manipulation. Pretty standard stuff but the follow-up tripped me up a bit.
  • Given a sorted integer array, modify it in place so each unique value appears at most twice and return the new length. Order must be preserved.

“Two pointers.”

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ByteDance·Software Engineer·Technical Phone Screen

Apr 2026
Bytedance coding round, one algorithmic problem on grid islands. Pretty focused session, just the one question but it had enough depth to keep me busy for a while.
  • Given a binary grid where 1s represent land and 0s represent water, count the number of distinct islands, where two islands are considered identical if one can be translated (but not rotated or reflected) to match the other.

“The basic island count with BFS/DFS I can do in my sleep, but the 'distinct' part tripped me up for a bit.”

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ByteDance·Software Engineer·Technical Phone Screen

Apr 2026
Third round with ByteDance for a Software Engineer role. The interviewer kept his camera off the entire time and conducted everything in Mandarin, then spent most of the 45 minutes picking apart a short-tenure job from early in my career rather than anything recent. Felt less like a technical screen and more like an interrogation of a resume gap I didn't even think was notable.
  • Walk me through the tech decisions made at your early-career role. Why didn't your team use [specific technology] at the time?

“This was a weird one.”

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ByteDance·Software Engineer·Onsite - Behavioral / Leadership

Apr 2026
Bytedance software engineer interview that started with a project deep dive before moving into two behavioral questions focused on engineering judgment and user impact. Pretty standard format but the questions had some teeth to them.
  • Tell me about a time you built something that ended up being more complex than it needed to be. How did you recognize the over-engineering, and what did you do to fix it?
  • Describe something you built or improved that meaningfully improved the user experience. What was the problem, what did you do, and how did you know it worked?

“This one is sneaky because your instinct is to pick an example that makes you look self-aware without making you look incompetent.”

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ByteDance·Software Engineer·Technical Phone Screen

Apr 2026
Bytedance software engineer interview that went sideways fast once the coding portion started. Bombed the algorithm question badly enough that the interviewer just moved on.
  • Solve a tree-based algorithm problem involving finding the minimum number of increments to make a binary tree valid (LeetCode 2673 style).

“Performed poorly and the interviewer just moved on.”

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ByteDance·Software Engineer·Onsite - System Design / Architecture

Apr 2026
Bytedance system design round where you walk through a past project and then they just start pulling on every thread. Redis, locking, queues, whatever you mentioned, they go there.
  • Walk us through one of your past projects in depth, including the architecture and key design decisions.
  • You mentioned Redis. What are the trade-offs of using it here, and what failure scenarios did you plan for?
  • How did you handle concurrency in your design, and why did you choose optimistic locking over other approaches?
  • Walk through how you'd use a message queue in this system and what guarantees you need around delivery.
  • How does your system behave under scale, and where do you expect it to break first?
  • In a distributed system, how do you think about the trade-off between consistency and availability, and how did that apply to your project?

“This sounds easy until you realize they're using your answer as a map to attack you.”

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