Rakuten Research Scientist Interview Questions
The questions to prepare for a Rakuten Research Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain the main considerations for designing a supervised ML model, from features and validation to regularization and deployment.
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Design a recommendation system strategy for new users and new items when interaction history is sparse or missing.
RakutenDesign a personalized recommendation system that turns user preferences into ranked suggestions with retrieval, ranking, and feedback loops.
RakutenExplain LLM hallucination and give three practical ways to reduce it using grounding, prompting, and evaluation.
RakutenExplain how you evaluate models using the right metrics, validation strategy, and error analysis for the problem.
RakutenTests understanding of resampling methods and when to apply them.
RakutenDesign a grounded document Q&A system and explain how vector search improves retrieval quality, latency, and hallucination control in RAG.
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