Research Intern, Knowledge Engineering & Generative AI at Hitachi in Santa Clara, CA

Job description

Location: Santa Clara, California, United States Job ID: R0148396 Date Posted: 2026-10-14 Company Name: HITACHI AMERICA, LTD. Profession (Job Category): Administration & Facilities Job Schedule: Full time Remote: No Job Description: Research Intern, Knowledge Engineering & Generative AI Company: Hitachi America, Ltd. Division: R&D / Industrial AI Laboratory Location: Santa Clara, CA Status: Intern, Full-Time Duration: 3 Months (January - March 2027) The Company About Hitachi America, Ltd. Hitachi America, Ltd. is the regional headquarters for Hitachi Group companies in the Americas, overseeing the U.S., Canada, and Latin America markets. Headquartered in Santa Clara, California, Hitachi Americas has been deeply committed to its Social Innovation Business since its establishment in 1959, addressing society's most pressing challenges through innovative solutions. Leveraging its expertise and resources, Hitachi Americas and its subsidiary companies operate across diverse sectors, including transportation, energy, mobility, industrial manufacturing, healthcare, digital engineering, data analytics and others. Driven by Digital, Green, and Innovation, Hitachi Americas remains at the forefront of pioneering solutions that shape the future. For further details, please visit https://www.hitachi.us/ . About Hitachi, Ltd. Through its Social Innovation Business (SIB) that brings together IT, OT(Operational Technology) and products, Hitachi aims to be a global leader in continuously transforming social infrastructure through digital, contributing to a harmonized society where the environment, wellbeing, and economic growth are in balance. Hitachi operates worldwide across four sectors – Digital Systems & Services, Energy, Mobility, and Connective Industries – as well as a Strategic SIB Business Unit focused on new growth areas. With Lumada at its core, Hitachi creates value by combining data, technology and domain knowledge to solve customer and social challenges. Revenues for FY2025 (ended March 31, 2026) totaled 10,586.7 billion yen, with 606 consolidated subsidiaries and approximately 290,000 employees worldwide. Visit us at www.hitachi.com . Summary 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. More information about Hitachi Industrial AI research can be found at: https://www.hitachi.com/rd/sc/aiblog/index.html Required Qualifications 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. Preferred Qualifications Experience with Knowled