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Meta·Machine Learning Engineer·Technical Phone Screen·Senior

SeniorPrefer not to say
Jun 2026

Summary

Interviewed for an ML Engineer role at Meta and got a coding problem involving linked list deep copy with random pointers. Pretty standard algorithms territory but the random pointer wrinkle trips people up if you haven't seen it before.

Questions Asked (1)

Q1

Given a linked list where each node has both a next pointer and a random pointer (which can point to any node or null), produce a deep copy of the entire list such that all next and random pointer relationships are preserved using only the new nodes.

Algorithms & Data Structures
Author's notes

The next pointer part is trivial.

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AI HintsAI Generated

Suggested Approach

Use a hash map to map each original node to its copy, then set next and random pointers for the copies. Alternatively, interleave copies with originals to achieve O(1) space, then separate the lists. Discuss trade-offs between time and space complexity.

Pro tip: Clarify whether the original list can be modified; if not, the hash map approach is safer. Also, mention that the interleaving method is more complex but demonstrates deeper understanding.

1. Understand the problem

Restate the problem to ensure clarity: deep copy a linked list with next and random pointers, preserving all relationships.

2. Choose an approach

Decide between hash map (O(n) space) and interleaving (O(1) space). Explain the trade-offs.

3. Implement the chosen approach

Walk through the steps: for hash map, create copies and map; for interleaving, insert copies, set randoms, and split.

4. Analyze complexity

State time and space complexity for both approaches and justify.

5. Test with edge cases

Consider empty list, single node, random pointing to self or null, and ensure no cycles in the copy.

Key Points to Mention

  • Hash map mapping original nodes to copies
  • Interleaving technique for O(1) space
  • Handling null random pointers
  • Time complexity O(n) for both approaches
  • Space complexity O(n) vs O(1)
  • Importance of not modifying the original list if required

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