Job Description
The Systems Engineering Group seeks a motivated AI/ML Intern to help implement a Retrieval-Augmented Generation (RAG) pipeline to enable natural language queries that return accurate and structured outputs.
The successful candidate should have at least a junior standing in their engineering field with coursework or projects in machine learning, databases, or natural language processing.
Responsibilities
- Work with the engineering team to understand database schema
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