Goldman Sachs Machine Learning Engineer interview questions
16 questions reported by candidates between 2024–2025. The most common are technical questions.
What they ask, by round
Most-asked questions
- Given an integer array nums and an integer k, return true if nums has a subarray of at least two elements whose sum is a multiple of k. Technical
- Implement LRU Cache. Technical
- Tell me about your past projects. Behavioral
- Given an array, find the two sum. Technical
- Explain Bayes' theorem. Concept
- Valid Parentheses Technical
- Find the median of two sorted arrays. Technical
- Given n houses in a line with money in each, find the maximum amount a robber can steal, without stealing from two adjacent houses. Technical
- Given the root of a binary tree of integers, return the maximum path sum. Technical
- Group anagrams Technical
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6 more Goldman Sachs Machine Learning Engineer questions are in the full list, with AI answers for each.
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Questions people ask
What does Goldman Sachs ask in Machine Learning Engineer interviews?
Candidates reported 16 different questions between 2024–2025. The most common type is technical (14 questions).
What rounds are in the Goldman Sachs Machine Learning Engineer interview?
Reported questions cover technical, behavioral, concept.
How should I prepare for a Goldman Sachs Machine Learning Engineer interview?
Practise the most-asked questions out loud with a clear structure, then do a timed mock interview. You can start a free Goldman Sachs Machine Learning Engineer mock interview on this page.
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