Research Internship – Deep Learning & LLM-Based Solutions for Industrial Applications

Location:

Santa Clara, California, United States

Job ID:

R0100515

Date Posted:

2025-07-17

Company Name:

HITACHI AMERICA, LTD.

Profession (Job Category):

Administration & Facilities

Job Schedule: 

Full time

Remote:

No

Job Description:

Research Internship – Deep Learning & LLM-Based Solutions for Industrial Applications

Company:  Hitachi America Ltd

Division:  R&D | Strategic Solution Lab

Location: Santa Clara, CA

Status: Intern, Full-Time

Duration: 3-4 months

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/.

Through its Social Innovation Business (SIB) that brings together IT, OT (Operational Technology) and products, Hitachi contributes to a harmonized society where the environment, wellbeing, and economic growth are in balance. Hitachi operates globally in four sectors – Digital Systems & Services, Energy, Mobility, and Connective Industries – and the Strategic SIB Business Unit for new growth businesses. With Lumada at its core, Hitachi generates value from integrating data, technology and domain knowledge to solve customer and social challenges. Revenues for FY2024 (ended March 31, 2025) totaled 9,783.3 billion yen, with 618 consolidated subsidiaries and approximately 280,000 employees worldwide. Visit us at www.hitachi.com.

Summary

We are seeking highly motivated undergraduate or graduate students for a Research Internship focused on deep learning, large language models (LLMs), and agentic AI-based services for industrial applications. This position is ideal for candidates interested in applying advanced AI techniques—including LLMs and agentic architectures—to challenges in power systems, control systems, or power management.

As a Research Intern, you will work alongside experienced researchers and engineers to develop, implement, and evaluate machine learning algorithms and LLM-driven agentic solutions for real-world industrial use cases. You’ll have the opportunity to contribute to projects that advance the state-of-the-art in AI for critical infrastructure, while gaining hands-on experience with modern deep learning frameworks, LLMs, and large-scale datasets.
 

Job Responsibilities

• Collaborate with cross-functional teams to design and prototype deep learning and LLM-based agentic AI models for power systems and control applications.

• Explore and implement reinforcement learning, imitation learning, and LLM-driven agentic solutions for optimization and decision-making tasks in industrial settings.

• Analyze datasets, extract insights, and validate both model and agentic system performance.

• Present findings and contribute to technical documentation and research publications.

• Participate in regular team meetings, brainstorming sessions, and code reviews.
   

A Day in the Life

• Work with mentors to define research objectives and milestones, including those involving LLM-based agentic AI.

• Develop and test novel algorithms and agentic workflows for real world industrial application.

• Review recent research papers on deep learning, LLMs, and agentic AI, applying relevant methods to ongoing projects.

• Communicate results through presentations and written reports.
   

Requirements

Basic Qualifications