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Goldman Sachs ML Engineer Interview Questions

2 practice questions for Goldman Sachs ML Engineer interviews

Goldman Sachs ML engineer interviews focus on model training pipelines, feature engineering, deployment infrastructure, and implementing ML algorithms from scratch.

All Roles Software Engineer Backend Engineer Frontend Engineer Full Stack Engineer Mobile Engineer Data Engineer Data Scientist ML Engineer DevOps Engineer DevOps Engineer Product Manager SRE Security Engineer Engineering Manager Data Analyst UX/UI Designer QA Engineer
coding Medium Verified Question #1

1. Fire Spread in Binary Tree


Category: Binary tree coding problem
# Question You are given the root of a binary tree and a target node value. A fire starts at the target node and spreads to all adjacent nodes...
Input: Binary tree
Output: Integer
coding Hard Verified Question #2

2. Parallel Task Scheduler


Category: Algorithm coding problem
# Question You are given n tasks, each taking a certain number of hours to complete. Tasks may depend on other tasks - a task cannot start until...
Input: Number(s)
Output: Integer

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