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DoorDash Machine Learning Engineer Interview Questions

The questions to prepare for a DoorDash Machine Learning Engineer interview. Questions from real interview reports rank first. Updated weekly.

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~5htotal time
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1
System DesignStart here. 11 questions · ~89 min
Personalized Merchant RecommendationsHard

Tests system design for personalization, ranking, and user-behavior modeling at DoorDash scale.

RetrievalModel ServingRecommendation SystemsDoorDash
Food Search Ranking AlgorithmHard

Tests ML ranking design and trade-offs among relevance, business metrics, and latency.

ML RankingFeature StoreRetrievalDoorDash
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2
Coding9 questions · ~72 min
Dispatch Routing Graph OptimizationHard

Tests graph optimization skills and ability to reason about routing constraints.

dfsGraphsoptimizationDoorDash
Low-Latency Autocomplete with TrieMedium

Tests data-structure implementation and performance considerations for search suggestions.

time complexitytraversalTreesDoorDash
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3
Machine Learning4 questions · ~32 min
Promotion Offers for GrowthMedium

Assesses ML approach for growth optimization and experimentation readiness.

promotionsDoorDash
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4
Behavioral & Leadership10 questions · ~81 min
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5
More topics3 questions · ~24 min
LLM ExperienceMedium

Evaluates practical LLM knowledge and ability to apply it to product problems.

experiencellmDoorDash
A/B Testing ConceptsMedium

Evaluates experimental design and statistical thinking for product decisions.

ExperimentationA/B TestingDoorDash
LLM Research DirectionsHard

Assesses depth of understanding of current LLM research and trade-offs.

researchllmDoorDash
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