They just wanted me to talk through my own work, which sounds easy until you're actually doing it live and second-guessing every detail you mention.
Choose a recent ML project that showcases your technical decision-making and ability to handle ambiguity. Structure your answer with context, your specific role, key technical decisions and trade-offs, and the impact. Highlight how you navigated uncertainty and adapted your approach.
Pro tip: Quantify the impact of your technical decisions (e.g., 'reduced inference latency by 30%') and briefly mention an alternative you considered but rejected, explaining why. This demonstrates depth and trade-off analysis.
Briefly describe the project's goal, the business problem, and why it mattered. Mention the team size and your specific role.
Clarify what you were directly responsible for, including any leadership or collaboration aspects. Be specific about your contributions.
Walk through 2-3 critical technical decisions you made, such as model selection, feature engineering, or deployment strategy. Explain the rationale and trade-offs.
Describe a significant challenge or ambiguity you faced and how you adapted. Highlight any pivots or learnings.
Conclude with the measurable outcomes of your work and what you learned. Connect it to the role at Expedia if possible.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.