AI-Enabled Research Librarian

LAM RESEARCH Corporation

Fremont (CA)

Hybrid

USD 70,000 - 133,000

Full time

14 days+

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Job summary

Lam Research is seeking a Library Information Specialist within the Corporate Engineering Library to enable access to research publications and technical information supporting innovation. You will help employees discover critical information, support AI-enabled search technologies, and maintain library systems aligned with licensing and governance.

The role emphasizes collaboration across cross-functional teams, vendor relations, and knowledge management, with hybrid work options and a

Qualifications

Master's degree in Library and Information Science.
Semiconductor, technology or manufacturing industry experience, or a bachelor's degree in engineering, physical sciences, or a related technical field.

Responsibilities

Implement, maintain, and enhance library systems and services, while supporting the evaluation and deployment of AI-enabled search, discovery, and research technologies that improve knowledge access and research workflows in alignment with licensing, governance, and business requirements.
Assist employees with information retrieval, conduct reference interviews, provide training on library resources, and support research and resource discovery.
Interface with vendors and publishers to support subscriptions, content access, system enhancements, and emerging information services.
Maintain the library website, information architecture, resource access points, and related systems. Resolve technical and access issues affecting library content and platforms.
Monitor developments in information services, AI-enabled research tools, and specialized databases, and recommend improvements to library resources, technologies, services/policies, and research workflows.
Provide library support for company initiatives and cross-functional projects.
Evaluate library services and technologies within the context of the broader enterprise environment, identifying opportunities to improve cross-functional workflows, system integration, information access, and user experience.