Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via emailLocation:
Santa Clara California United StatesJob ID:
R0100513Date Posted:
Company Name:
HITACHI AMERICA LTD.Profession (Job Category):
Administration & FacilitiesJob Schedule:
Full timeRemote:
NoJob Description:
Applied Research Internship RL for Industrial Controls 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 societys 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 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 9783.3 billion yen with 618 consolidated subsidiaries and approximately 280000 employees worldwide. Visit us at .
Summary
We are seeking highly motivated undergraduate or graduate students for aResearch Internshipfocused on deep learning with exposure to reinforcement learning (RL) and/or imitation learning. This position is ideal for candidates interested in applying advanced AI techniques 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 for real-world applications. Youll 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 and large-scale datasets.
Job Responsibilities
Collaborate with cross-functional teams to design and prototype deep learning models for power systems and control applications.
Explore and implement reinforcement learning and imitation learning algorithms for optimization and decision-making tasks.
Analyze datasets extract insights and validate model 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.
Develop and test novel algorithms for power management or control systems.
Review recent research papers and apply relevant methods to ongoing projects.
Communicate results through presentations and written reports.
Requirements
Recently completed or currently enrolled in an undergraduate or graduate program in Electrical Engineering Mechanical Engineering or a related field with minor or background in Computer Science.
Strong programming skills in Python (or similar languages). Experience with power system modeling control theory or energy management systems.
Coursework or experience in deep learning reinforcement learning or imitation learning.
Familiarity with machine learning frameworks (preferably. PyTorch).
Interest or background in power systems control systems or power management.
Excellent communication and teamwork skills.
Available for a full-time (40h/week) internship for minimum 3-4 months starting July/August 2024.
Currently enrolled in or recent graduate of a masters or higher degree course. Must be able to relocate to the internship location.
Preferred Qualifications
Prior research or project experience in AI for physical systems.
Exposure to LangChain and/or LangGraph is preferred not a requirement.
Ability to work independently and manage multiple priorities in a fast-paced environment.
If you are passionate about leveraging deep learning and AI to solve real-world challenges in power and control systems we encourage you to apply. This internship offers a unique opportunity to grow your technical skills collaborate with leading experts and contribute to impactful research.
Our Values
We are proud to say we are an equal opportunity employer and welcome all applicants for employment without attention to any factor that doesnt impact your ability to do the job including race color religion sex sexual orientation gender identity national origin veteran or disability status. We are proud of Japanese heritage with our values expressed through the Hitachi Spirit:
Wa Harmony Trust Respect
Makoto Sincerity Fairness Honesty Integrity
Kaitakusha-Seishin Pioneering Spirit Challenge
For California only (as required by Californias Pay Transparency for Pay Equity Act (SB 1162): The expected hourly rate for this position in our California office is $30 - 35 per hour. Pay is determined based on a variety of factors including but not limited to depth of experience in the practice area. Employees are eligible to participate in Hitachi Americas variable pay program subject to the programs conditions and restrictions.
Equal Opportunity Employer (EOE)-Females/Minorities/Protected Veterans/Individuals with Disabilities
If you need a reasonable accommodation to apply for a job at Hitachi please send the nature of request and contact information to Queries other than accommodation requests will not be responded to.
Required Experience:
Intern
Full-Time