Blanked for a solid few seconds on this one.
Start by clarifying the constraints and goals: what does Yahoo need most? Then propose a project that leverages the massive compute and team size, such as a large-scale data processing or machine learning system. Structure your answer by outlining the problem, your solution, and how you'd execute it within 3 months.
Pro tip: Show that you can prioritize impact over novelty: pick a project that directly addresses a Yahoo pain point, like improving ad targeting or search relevance, and explain how you'd measure success.
Ask questions to understand the context: Is this for an existing product or a new initiative? What are Yahoo's current challenges? What are the success metrics?
Brainstorm areas where 100,000 computers and 20 engineers can make a significant difference, such as large-scale machine learning, data processing, or infrastructure improvements.
Select one project that aligns with Yahoo's business goals, such as a real-time personalization engine or a distributed training platform, and explain why it's feasible and valuable.
Describe how you'd organize the team, allocate resources, and hit milestones within 3 months, including risk mitigation and iteration.
Specify how you'd measure the project's impact, such as improved click-through rates, reduced latency, or cost savings.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.