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Meta·Machine Learning Engineer·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Meta MLE coding round, two LeetCode problems back to back. Pretty standard stuff if you've done your prep.

Questions Asked (2)

Q1

LeetCode 393: UTF-8 Validation. Given a list of integers representing data, determine if it encodes a valid UTF-8 sequence.

Algorithms & Data Structures
Author's notes

Bit manipulation problem.

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AI HintsAI Generated

Suggested Approach

Use a single-pass scan over the byte array, decoding the leading byte to determine the expected number of continuation bytes, then verify each continuation byte starts with '10'. Handle edge cases like truncated sequences and invalid leading bytes (e.g., 0xFF) explicitly.

Pro tip: Clarify that this is a classic state-machine problem and that you can solve it in O(n) time and O(1) space; mention that the same logic applies to streaming data, which is relevant for ML pipelines processing text.

1. Clarify requirements and constraints

Confirm the input format (list of integers 0-255) and that the sequence must be a complete, valid UTF-8 encoding. Ask about edge cases like empty input or overlong encodings.

2. Define byte patterns

Identify the valid leading byte ranges: 0xxxxxxx (1 byte), 110xxxxx (2 bytes), 1110xxxx (3 bytes), 11110xxx (4 bytes). Continuation bytes must match 10xxxxxx.

3. Design single-pass algorithm

Iterate through the array; for each leading byte, compute the number of expected continuation bytes and verify the next bytes are valid continuations. If any check fails, return false.

4. Handle edge cases and invalid bytes

Ensure the sequence doesn't end mid-character, and reject bytes like 0xFF or 0xFE that are never valid in UTF-8. Also consider overlong encodings if the problem requires strict validation.

5. Analyze complexity and test

State that the algorithm runs in O(n) time and O(1) space. Walk through a few test cases: valid multi-byte character, invalid continuation, truncated sequence.

Key Points to Mention

  • UTF-8 encoding rules: leading byte patterns and continuation byte format (10xxxxxx).
  • Single-pass O(n) time and O(1) space solution.
  • Handling of edge cases: empty input, truncated sequences, invalid bytes (e.g., 0xFF).
  • Bitwise operations to check byte patterns efficiently (e.g., byte & 0b11000000 == 0b10000000).
  • Relevance to ML: text preprocessing and ensuring data integrity in pipelines.
  • Potential follow-up: how to extend to streaming validation or handle overlong encodings.

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

Q2

LeetCode 419: Battleships in a Board. Count the number of battleships on a 2D board without using extra memory.

Algorithms & Data Structures
Author's notes

Easier than the first one in my opinion.

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AI HintsAI Generated

Suggested Approach

Clarify that battleships are 1×k or k×1 rectangles, separated by at least one water cell, and that no extra memory means O(1) auxiliary space. Then propose a single-pass scan where a ship is counted only at its top-left cell (i.e., when the current cell is 'X' and neither the cell above nor the cell to the left is 'X').

Pro tip: Explicitly state that you're counting only the top-left cell of each ship to avoid double-counting, and mention that this works because ships are straight and non-adjacent. This shows you understand the invariant and can reason about correctness without extra memory.

1. Clarify problem constraints and definitions

Confirm that battleships are 1×k or k×1 rectangles, separated by at least one water cell, and that 'no extra memory' means O(1) auxiliary space (the board itself can be modified or not).

2. Identify the counting invariant

Recognize that each ship has exactly one top-left cell (the cell with no 'X' above or to the left). Counting only these cells yields the number of ships.

3. Design the single-pass algorithm

Iterate over every cell; if board[i][j] == 'X' and (i == 0 or board[i-1][j] != 'X') and (j == 0 or board[i][j-1] != 'X'), increment the count.

4. Analyze complexity and edge cases

State O(m*n) time and O(1) extra space. Discuss edge cases: empty board, single cell, ships touching borders, and ships of length 1.

5. Connect to ML engineering context

Relate the problem to efficient in-place processing of large matrices (e.g., feature maps or adjacency grids) where memory is constrained, emphasizing the importance of O(1) auxiliary space.

Key Points to Mention

  • Ships are straight (1×k or k×1) and never adjacent, so each ship has a unique top-left cell.
  • Counting only top-left cells avoids double-counting and requires no extra memory.
  • Time complexity O(m*n) and auxiliary space O(1).
  • Edge cases: empty board, single row/column, ships of length 1, and ships at borders.
  • The algorithm does not modify the input board, preserving data integrity.
  • Relevance to ML: efficient in-place operations on large tensors or grids under memory constraints.

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