Preparing for TikTok Coding & Algorithms interview questions means expecting a fast-paced, implementation-heavy process that blends timed online assessments and live pair-programming. What’s distinctive is the combination of algorithmic depth and production-minded expectations: interviewers look for correct and efficient algorithms, clean and idiomatic code, clear complexity analysis, robust handling of edge cases and tests, and the ability to explain tradeoffs concisely. For front-end or platform-adjacent roles you may also face language- or framework-specific problems (for example JavaScript/React), while senior roles commonly add system-design flavor to the evaluation. In practice you should expect an initial online assessment (multiple problems on a coding platform) followed by 45–60 minute technical screens that mix 1–2 LeetCode-style problems with resume questions. Good interview preparation focuses on timed problem practice (arrays, strings, trees, graphs, dynamic programming, hashing, two-pointers), writing and running code in a shared editor, narrating your thought process, and practicing clean test cases. Do mock interviews, review core library functions in your primary language, and rehearse concise explanations of complexity and tradeoffs—these habits improve speed, correctness, and the communication TikTok typically evaluates.