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Bilibili interview questions

From 6 candidate accounts, updated Oct 12, 2026

Candidate accounts
6
Rounds on average
1
Rounds in every loop
1
Offers among stated outcomes
2 of 2

How the loop works

This guide draws on 6 first-hand interview accounts from Nowcoder. Candidates describe about 1 round on average, most often technical interviews and system design.

These 6 writeups cover software engineering roles. All of them were posted under a forum handle, so we could not verify the authors’ identities.

See open roles at Bilibili

Interview experiences at Bilibili

Test Development Engineer

Outcome not shared

Internship. 1 round. Shared by 711露头被斩杀 on nowcoder, 2026-09-16

  1. 1InterviewTechnical40-minute round on testing knowledge, agent design for test generation, an easy binary search and project discussion.Covered: Motivation for testing, Black-box vs white-box, API and UI automation, Agents, skills and MCP, Design a test-case review agent, Binary search, AI-assisted development, Postman and packet capture

Test Development Engineer Intern (Live Services)

Received an offer

Internship. 1 round. Shared by 批踢踢 on nowcoder, 2026-09-17

  1. 1First roundTechnicalInternship AI content pipeline questions, motivation for testing and designing test cases for live comments. Passed.Covered: AI-generated content detection, Tool-call parameter hallucination, Online vs offline evaluation, Turning requirement docs into tasks, GPU contention, Burst traffic in Python services, Why test development, Danmaku test cases

Bilibili interviews: FAQ

What is the interview process like at Bilibili?
This guide draws on 6 first-hand interview accounts from Nowcoder. Candidates describe about 1 round on average, most often technical interviews and system design.
What topics does Bilibili test in interviews?
Commonly reported topics include Semantic ID with exposure constraints, SID collision rate, LoRA SFT for generative retrieval, Cold-start users, Generative retrieval latency, Two-tower limitations and long-tail items.

These guides summarize public, first-hand interview experiences shared by candidates. They describe the shape of each loop and the topics that came up, not a leaked question bank, and every experience links back to its original source. Processes change often. Treat this as directional prep, not a script.