Design an ML job scheduler

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Quick Overview

This question evaluates competency in ML systems design, distributed resource scheduling, and cluster resource management for heterogeneous CPU and GPU environments.

Design an ML job scheduler

Company: Netflix

Role: Machine Learning Engineer

Category: ML System Design

Difficulty: easy

Interview Round: Onsite

Overview: This question evaluates competency in ML systems design, distributed resource scheduling, and cluster resource management for heterogeneous CPU and GPU environments.

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

|Home/ML System Design/Netflix
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Netflix
Jan 6, 2026
easyMachine Learning EngineerOnsiteML System Design
5
0
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