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ByteDance interview notes, page 24 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·Technical Phone Screen

Jun 2026
Bytedance SWE interview with a graph traversal problem that looks deceptively simple but has a specific constraint that changes the approach entirely. Pretty standard coding round vibe.
  • You have an integer array and a target value T. Starting at index 0, you can jump forward 1 to 10 positions at a time. Each index has a cost equal to its value. Find the minimum number of jumps needed to land on an index whose value equals T. Return -1 if no reachable index has that value.

“My first instinct was dynamic programming because of the 'minimum steps' framing and the jump constraint, which felt like a classic staircase problem.”

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ByteDance·Software Engineer·Onsite - System Design / Architecture

Jun 2026
Bytedance SRE interview that was basically a system design session dressed up as a coding round. They wanted a full TinyURL implementation with real discussion about trade-offs, not just pseudocode.
  • Design and implement a TinyURL service with encode and decode functions. Walk through your short-code generation strategy, collision handling, storage choices, and TTL support.

“This one sprawled in every direction.”

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ByteDance·Machine Learning Engineer·Technical Phone Screen

Jun 2026
Bytedance ML engineer screen, one coding question, pretty standard stuff. They went straight to algorithms without much small talk.
  • Given an array of integers, find the contiguous subarray with the largest sum and return that sum.

“Classic Kadane's algorithm.”

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ByteDance·Machine Learning Engineer·Technical Phone Screen

Jun 2026
Bytedance ML engineer interview, got a tree reconstruction problem that I've seen before but still managed to second-guess myself on the implementation details.
  • Given the preorder and inorder traversal arrays of a binary tree, reconstruct the original tree and return its root.

“I knew the trick going in: preorder gives you the root, inorder tells you where to split left and right subtrees.”

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ByteDance·Software Engineer·Technical Phone Screen

Jun 2026
Bytedance SWE interview with a sliding window problem. Pretty standard coding round, nothing too wild, but the constraint on k distinct characters is the kind of detail that trips you up if you're not careful.
  • Given a string and an integer k, find the length of the longest substring containing at most k distinct characters.

“Sliding window with a frequency map.”

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ByteDance·Machine Learning Engineer·Technical Phone Screen

Jun 2026
Bytedance ML engineer interview that went pretty deep on regularization techniques. The dropout section especially got granular fast, covering implementation details I hadn't fully thought through in a while.
  • What are the main approaches you'd use to reduce overfitting in a machine learning model?
  • Walk me through exactly how dropout is implemented during training, at the code level.
  • How does dropout behave differently at inference time compared to training, and why?
  • Why does dropout actually work as a regularizer? What's the theoretical justification?

“Started rattling off the obvious stuff: more data, L1/L2, early stopping, dropout.”

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ByteDance·Machine Learning Engineer·Technical Phone Screen

Jun 2026
Bytedance ML engineer screen, pretty standard opener with a self intro and project walkthrough. Nothing wild to report.
  • Walk me through your background and a recent project you worked on.

“Pretty routine but I always fumble the project part a little.”

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ByteDance·Software Engineer·Technical Phone Screen

Jun 2026
Bytedance coding round for a software engineer role. One main linked list problem with a twist on a well-known LeetCode problem, plus a few follow-ups on edge cases and complexity. Pretty focused session, nothing too wild.
  • Reverse every K nodes in a linked list. Unlike the standard version, if the remaining tail has fewer than K nodes, reverse those too instead of leaving them as-is.
  • What happens to your solution if k equals 1?
  • What if k is larger than the total length of the list? How would you handle that?
  • What are the time and space complexities of your solution?

“The twist tripped me up for a second because I'd drilled the LeetCode version where you leave the tail alone.”

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ByteDance·Machine Learning Engineer·Onsite - Behavioral / Leadership

Jun 2026
Behavioral round for an MLE role at Bytedance. The whole thing was basically one long deep-dive into past projects, and the interviewer was not letting anything slide without proof.
  • Walk me through a past project in detail: what motivated it, what your specific role was, and what technical decisions you made along the way.
  • What was the hardest sub-problem you encountered in that project, and how did you work through it?
  • Describe a setback or failure during the project and how you recovered from it.
  • How did you collaborate with stakeholders and manage cross-team dependencies throughout the project?
  • What was the measurable impact of the project, and how did you track it?

“This is basically the whole interview.”

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ByteDance·Machine Learning Engineer·Technical Phone Screen

Jun 2026
Second round for an MLE role at Bytedance. Since the first round already covered project experience, this one skipped straight to ML theory and got pretty deep pretty fast.
  • Which machine learning models are you most familiar with?
  • Can you explain the theoretical foundations of the Transformer architecture?
  • Derive the loss function for binary classification from scratch.

“Said Transformer without much hesitation.”

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