Research Intern, Knowledge Engineering & Generative AI

Hitachi•Santa Clara, CA

1d•$45 - $50•Onsite

About The Position

Hitachi America, Ltd. has openings for Research Interns in the Industrial AI Laboratory located in Silicon Valley. The laboratory develops innovative AI technologies and intelligent systems for industrial infrastructure, manufacturing, mobility, energy, and supply chain applications. We are seeking a highly motivated intern to help develop a next-generation AI-powered knowledge platform that integrates engineering knowledge, operational technology (OT) knowledge, technical documents, simulation assets, and domain expertise. This platform will support intelligent search, knowledge discovery, AI-assisted reasoning, and agentic AI systems for industrial applications. The successful candidate will work on technologies spanning Generative AI, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Agentic AI, Information Retrieval, and Enterprise Knowledge Systems. You will collaborate with researchers and engineers to design and prototype solutions that help AI systems discover, connect, and utilize complex engineering knowledge.

Requirements

Pursuing a Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, Information Science, Software Engineering, or a related field.
Strong programming skills in Python.
Background in one or more of the following areas: Generative AI, Natural Language Processing (NLP), Information Retrieval, Machine Learning, Knowledge Representation.
Experience with Large Language Models (LLMs).
Familiarity with Retrieval-Augmented Generation (RAG), embeddings, vector databases, or semantic search technologies.
Ability to rapidly build prototypes and proof-of-concept systems.

Nice To Haves

Experience with Knowledge Graphs, Ontologies, Graph Databases, or Knowledge Engineering.
Experience with Agentic AI, AI Assistants, or Multi-Agent Systems.
Experience integrating AI systems with external tools, APIs, databases, or enterprise data sources.
Experience processing large collections of structured and unstructured documents.
Research publications, open-source contributions, or relevant project experience.

Responsibilities

Help develop a next-generation AI-powered knowledge platform that integrates engineering knowledge, operational technology (OT) knowledge, technical documents, simulation assets, and domain expertise.
Support intelligent search, knowledge discovery, AI-assisted reasoning, and agentic AI systems for industrial applications.
Work on technologies spanning Generative AI, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Agentic AI, Information Retrieval, and Enterprise Knowledge Systems.
Collaborate with researchers and engineers to design and prototype solutions that help AI systems discover, connect, and utilize complex engineering knowledge.