Top 43
Prep plan
Updated weekly · Last refresh Aug 30

Occidental Petroleum AI Engineer Interview Questions

The questions to prepare for a Occidental Petroleum AI Engineer interview. Questions from real interview reports rank first. Updated weekly.

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~7htotal time
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1
CodingStart here. 9 questions · ~94 min
LRU Cache for Fast RetrievalMedium
Practice

Implement an LRU cache using a hash map and doubly linked list to support O(1) get and put operations.

Hash TablesSearchingSortingOccidental Petroleum
Find Two Sum IndicesEasy
Practice

Use a hash map to find two array elements that sum to a target in O(n) time.

Hash TablesArraysSortingOccidental Petroleum
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2
System Design6 questions · ~63 min
Design an LLM Serving PlatformHard

Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.

Cold StartFeature StoreModel ServingOccidental Petroleum
Design Feature Drift Monitoring SystemHard

Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.

Feature StoreFeature DriftModel ServingOccidental Petroleum
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3
Model Evaluation4 questions · ~42 min
Choose Classification MetricsMedium

Choose the right classification metrics, and explain when precision, recall, and F1 score matter most.

F1 ScorePrecisionRecallOccidental Petroleum
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4
Machine Learning8 questions · ~83 min
Feature Engineering for Predictive ModelsMedium

Explain how to choose, transform, and validate features for a predictive model using a structured ML workflow.

Cross-ValidationFeature EngineeringSupervised LearningOccidental Petroleum
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5
Generative AI & LLMs5 questions · ~52 min
Design a Multi-Agent Research AssistantMedium

Design a grounded multi-agent assistant that plans, retrieves, and synthesizes answers under strict latency, cost, and hallucination limits.

Prompt EngineeringRAGLLM AgentsOccidental Petroleum
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6
Behavioral & Leadership10 questions · ~104 min
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7
More topics1 question · ~10 min
Explain a RAG SystemMedium

Explain how RAG combines retrieval and generation to produce grounded answers from a document collection.

Vector SearchLanguage ModelsPrompt EngineeringOccidental Petroleum
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