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Meta·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
May 2026

Summary

Meta software engineer interview, coding round. The content was pretty thin, just a reference to a LeetCode-style problem on transactions, so not much to go on.

Questions Asked (1)

Q1

Solve a coding problem related to transactions, similar to a well-known LeetCode problem on the topic.

Algorithms & Data Structures
Author's notes

The original post was vague, just a pinyin-obfuscated reference to a LeetCode transactions problem with no detail on the actual prompt or constraints.

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AI HintsAI Generated

Suggested Approach

Clarify the problem to identify the specific transaction-related LeetCode problem (e.g., 'Best Time to Buy and Sell Stock' or 'Transaction Logs'). Then, discuss potential approaches, starting with a brute-force solution and optimizing using appropriate data structures or algorithms. Finally, walk through the code and analyze time/space complexity.

Pro tip: Meta interviewers value clean, efficient code and the ability to explain your thought process. Always start by restating the problem and asking clarifying questions to ensure you understand the requirements and constraints.

1. Understand the Problem

Restate the problem in your own words and ask clarifying questions about input format, output, constraints, and edge cases.

2. Explore Approaches

Discuss a brute-force solution first, then propose optimized approaches using appropriate data structures or algorithms, explaining trade-offs.

3. Implement the Solution

Write clean, modular code with meaningful variable names, handling edge cases and explaining your logic as you go.

4. Test and Validate

Walk through test cases, including edge cases, to verify correctness and identify any bugs.

5. Analyze Complexity

State the time and space complexity of your solution and discuss potential optimizations or alternative approaches.

Key Points to Mention

  • Clarify the specific transaction problem (e.g., stock trading, transaction logs).
  • Discuss trade-offs between different approaches (e.g., brute-force vs. optimized).
  • Use appropriate data structures (e.g., hash maps, arrays, heaps) based on problem requirements.
  • Handle edge cases such as empty input, single transaction, or invalid data.
  • Analyze time and space complexity of the solution.
  • Write clean, readable code with comments and meaningful names.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.