Approach an ambiguous business problem
Company: Amazon
Role: Machine Learning Engineer
Category: ML System Design
Difficulty: medium
Interview Round: Technical Screen
In a science-application interview, you are given a business problem that is intentionally vague. The interviewer wants to see how you handle ambiguity rather than jump directly into modeling.
Describe how you would work with stakeholders to clarify the problem, define the right objective, determine whether machine learning is actually needed, identify the data requirements, choose success metrics, design an evaluation and experimentation plan, and propose a rollout strategy. Explain what questions you would ask and why.
Quick Answer: This question evaluates a candidate's ability to handle ambiguity in ML system design by assessing skills in stakeholder communication, problem scoping, objective definition, determining the necessity of machine learning, specifying data requirements, selecting success metrics, and planning evaluation and rollout.
