Describe ML projects and tech choices

Q: Describe ML projects and tech choices

This is a ML System Design interview question from Shopify for Machine Learning Engineer roles. View the full question and solution on PracHub.

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Question

ML Project Overview and Deep Dive (HR Screen)

Context

You are interviewing for a Machine Learning Engineer role. Provide a concise, structured overview of your primary ML project and briefly summarize one or two other major projects. Then, deep-dive into the technologies behind one selected project, explaining choices, trade-offs, and limitations.

Prompts

Primary ML Project (concise overview)
- Problem definition and business objective
- Data sources and preprocessing
- Model architecture or algorithms
- Training setup (loss, sampling, hardware, orchestration)
- Evaluation metrics (offline and online/A-B)
- Measurable outcomes/impact
Other Projects (1–2 summaries)
- Objective and high-level approach
Deep Dive (choose one project)
- Key technologies/frameworks for: data pipeline, model training, deployment/serving, infrastructure
- Why these were chosen over alternatives
- Trade-offs and limitations

Describe ML projects and tech choices

ML Project Overview and Deep Dive (HR Screen)

Context

Prompts

Solution (Locked)

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