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Last active May 21, 2026 12:38
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ML Task System Design
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system-design.md

Design a system where an admin can trigger a machine learning model training job from a desktop application and check on its status later. Because training can take several minutes, this does not need to be real-time.

To give you some architectural context, the system is split into two parts:

  • A Core Service: This is our main backend API. It handles user requests, and receives the initial 'Train' request from the desktop app.

  • An ML Service: This is a separate service responsible for training the ML model.

Your Task

  • Explain how these two services communicate asynchronously so the Core Service doesn't get blocked.

  • Design the database models required to support this workflow. What tables do we need, what columns should they have, and how do the services interact with this data?

  • Explain how the desktop app safely checks the status (pending → running → completed / failed).

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