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Meta·Machine Learning Engineer·Technical Phone Screen·Intermediate

IntermediatePrefer not to say
May 2026

Summary

Coding round at Meta for an ML engineer role. Just one problem but it was enough to keep me second-guessing myself for a while after.

Questions Asked (1)

Q1

Given the head of a linked list, remove the k-th node from the end and return the updated list.

Algorithms & Data Structures
Author's notes

Classic two-pointer setup but I fumbled the off-by-one on the first pass.

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AI HintsAI Generated

Suggested Approach

Use the two-pointer technique: advance a fast pointer k nodes ahead, then move both pointers until the fast pointer reaches the end. The slow pointer will then be at the node to remove. Handle edge cases like removing the head or when k exceeds the list length.

Pro tip: Clarify with the interviewer whether k is 1-indexed from the end (e.g., k=1 means last node) and whether the list is singly or doubly linked. Also, discuss time and space complexity upfront to show awareness.

1. Understand the problem and edge cases

Confirm the definition of k (1-indexed from end) and list type. Identify edge cases: empty list, k=1 (remove last), k=length (remove head), k>length (invalid).

2. Choose the optimal approach

Select the two-pointer (fast/slow) technique for O(n) time and O(1) space. Alternatively, mention the two-pass approach but note its inefficiency.

3. Implement the two-pointer algorithm

Initialize both pointers at a dummy head. Move fast k+1 steps ahead. Then move both until fast is null. Remove the next node of slow by updating pointers.

4. Handle edge cases and return result

Use a dummy node to simplify head removal. After removal, return dummy.next as the new head. Verify with examples.

5. Analyze complexity and test

State time O(n) and space O(1). Walk through test cases: k=1, k=length, k>length, and normal case.

Key Points to Mention

  • Two-pointer technique with a gap of k nodes
  • Use of dummy node to handle removal of head
  • Time complexity O(n) and space complexity O(1)
  • Edge cases: empty list, k=1, k=length, k>length
  • Difference between one-pass and two-pass approaches
  • Clarification of k indexing (1-indexed from end)

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