Describe your proudest project

Q: Describe your proudest project

This is a Behavioral & Leadership interview question from Google for Machine Learning Engineer roles. View the full question and solution on PracHub.

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Question

Behavioral prompt: Describe the project you are most proud of (Machine Learning Engineer)

Provide a concise, technical, leadership-focused walkthrough of one project. Aim for 3–5 minutes and quantify impact.

Include:

Problem context
- What business/user problem and scale? Why now? Constraints (latency, cost, privacy, reliability).
Objectives and success metrics
- Primary metric(s) and guardrails (e.g., CTR, retention, latency, cost, fairness). Target or expected lift.
Your responsibilities
- Your role, scope, decisions you owned, cross-functional partners.
Key technical decisions
- Modeling approach, features, data pipeline, training/serving, online/offline parity, evaluation, experiment design, rollout.
Tools and stack
- Languages, libraries, data/ML infra, orchestration, monitoring, feature store, retrieval/indexing.
Measurable results
- Before/after numbers (accuracy/AUC, latency p95, cost, revenue/engagement). Note absolute and relative changes.
Risks you managed
- Data quality/leakage, drift, fairness, privacy/PII, reliabilty/SLAs, experiment risk, product risk.
What you would do differently
- Lessons learned, process/tech improvements, what to prioritize next.

Describe your proudest project

Behavioral prompt: Describe the project you are most proud of (Machine Learning Engineer)

Solution (Locked)

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