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Plan and lead a large recommendation project

LinkedInMachine Learning Engineer · Onsite
MediumMachine Learning EngineerOnsiteBehavioral & Leadership

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This Behavioral & Leadership question evaluates leadership, execution planning, cross-functional coordination, resourcing, and stakeholder communication skills in the context of machine learning recommendation product development.

You are given a recommendation design problem, but the interviewer focuses on leadership and execution rather than detailed modeling.

Explain how you would:

  1. Turn a high-level recommendation idea into an execution plan (milestones, dependencies, risks).
  2. Estimate staffing: what roles you need (e.g., MLE, DS, backend, product, design, data engineering) and roughly how many people.
  3. Propose a realistic timeline (phased rollout) and how you would coordinate cross-functionally.
  4. Define success metrics and how you would run experiments.
  5. Handle trade-offs, disagreements, and communication to stakeholders.