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XPeng Motors Machine Learning Engineer Interview Questions

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

15questions
~2htotal time
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1
Machine LearningStart here. 9 questions · ~74 min
Choosing Architecture for PerceptionMedium

Assesses practical model selection based on task constraints, data, and performance goals.

model architectureXPeng Motors
Validating Edge CasesMedium

Tests rigor in evaluation design, dataset coverage, and failure-mode analysis.

performance evaluationmodel validationedge casesXPeng Motors
Deploying Deep Models on Vehicle HardwareHard

Evaluates ability to balance accuracy, latency, memory, and reliability for on-vehicle deployment.

Trade-offsDeep LearningEmbedded SystemsXPeng Motors
On-Policy vs Off-Policy RLMedium

Evaluates understanding of RL data collection, learning targets, and stability trade-offs.

XPeng Motors
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2
Coding3 questions · ~25 min
Counting Islands in a GridMedium

Tests graph traversal and boundary handling for grid-based counting problems.

XPeng Motors
Optimizing Code for Production ConstraintsHard

Tests ability to translate algorithmic ideas into efficient, production-ready implementations.

space complexitytime complexityXPeng Motors
Counting Unique IslandsMedium

Assesses ability to design canonical representations for equivalence classes in grid problems.

XPeng Motors

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3
Behavioral & Leadership3 questions · ~25 min
Pivoting Research DirectionMedium

Tests your experimental thinking, adaptability, and how you translate results into new plans.

adaptabilityXPeng Motors
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