Solve several streaming, DAG, and DP tasks

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Quick Overview

This multi-part question evaluates proficiency in streaming and online algorithms, DAG-based scheduling and parallelism reasoning, and constrained dynamic programming/optimization for sliding-window resource limits, within the Coding & Algorithms domain.

Solve several streaming, DAG, and DP tasks

Company: Google

Role: Machine Learning Engineer

Category: Coding & Algorithms

Difficulty: hard

Interview Round: Onsite

Overview: This multi-part question evaluates proficiency in streaming and online algorithms, DAG-based scheduling and parallelism reasoning, and constrained dynamic programming/optimization for sliding-window resource limits, within the Coding & Algorithms domain.

Read the full Google Machine Learning Engineer interview experience this question came from

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Google
Jan 6, 2026
hardMachine Learning EngineerOnsiteCoding & Algorithms
22
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