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Capital One·Machine Learning Engineer·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Interviewed for an ML Engineer role at Capital One and got a tree traversal problem. Pretty standard coding round, nothing too wild, but it's the kind of question where you can fumble the path-building if you're not careful.

Questions Asked (1)

Q1

Given the root of a binary tree, return all root-to-leaf paths as strings with node values joined by '->'.

Algorithms & Data Structures
Author's notes

The traversal itself wasn't the hard part.

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AI HintsAI Generated

Suggested Approach

Use depth-first search (DFS) with backtracking to traverse the tree, maintaining the current path as a list of node values. When a leaf is reached, convert the path to a string joined by '->' and add it to the result. This approach is efficient and straightforward for enumerating all root-to-leaf paths.

Pro tip: Mention that you would clarify edge cases upfront, such as an empty tree or a single-node tree, and discuss the trade-offs between recursive and iterative solutions. This shows attention to detail and practical engineering maturity.

1. Clarify the problem and edge cases

Confirm the definition of a leaf (node with no children) and ask about handling an empty tree. Discuss expected output format and any constraints.

2. Choose the traversal strategy

Select DFS with backtracking for its simplicity and natural fit for path tracking. Alternatively, consider BFS with a queue of paths, but note DFS is more space-efficient for deep trees.

3. Implement the recursive DFS

Write a helper function that takes a node and the current path. If the node is a leaf, format the path as a string and add to results. Otherwise, recurse on left and right children, appending the current node's value to the path before each recursive call and backtracking after.

4. Analyze complexity and test

State that time complexity is O(N) for visiting each node once, and space complexity is O(H) for recursion stack plus O(N*H) for output storage in the worst case. Walk through a small example to verify correctness.

5. Discuss potential optimizations or variations

Mention iterative approaches using an explicit stack, or how to adapt the solution if paths need to be returned as lists instead of strings. Highlight any trade-offs.

Key Points to Mention

  • Depth-first search (DFS) with backtracking
  • Handling edge cases: empty tree, single node
  • Time complexity O(N) and space complexity O(H) for recursion
  • String formatting with '->' separator
  • Recursive vs iterative trade-offs
  • Avoiding unnecessary string concatenation by using a list and joining at leaf

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