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

About the Role

Key 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.
• Work with mentors to define research objectives and milestones involving LLM-based agentic AI.
• Develop and test novel algorithms and agentic workflows for real-world industrial applications.
• 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

• Recently completed or currently enrolled in an undergraduate or graduate program in Computer Science, Electrical Engineering, Electronics, or other relevant engineering departments.
• Strong programming skills in Python (or similar languages) and some exposure to LangChain, LangGraph, or similar LLM orchestration frameworks.
• Coursework or experience in deep learning and large language models.
• Hands-on experience or coursework in building or integrating LLMs for agentic AI-based services, especially in industrial or engineering domains.
• Familiarity with machine learning frameworks (preferably PyTorch).
• Interest or background in power systems, control systems, or power management.
• Excellent communication and teamwork skills.
• Strong aptitude towards building and testing projects.
• Available for a full-time (40h/week) internship for a minimum of 3-4 months starting July/August 2024.
• Currently enrolled in or recent graduate of a master's or higher degree course.
• Must be able to relocate to the internship location.

Nice to Have

• Experience or exposure to agentic AI framework.
• Prior research or project experience in AI for physical systems or industrial applications, especially involving LLMs and agentic AI.
• Demonstrated ability to design, implement, or deploy LLM-powered agentic workflows for industrial or engineering use cases.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

Qualifications

• Enrollment in or recent graduation from a master's or higher degree program in relevant fields.

Benefits & Perks

• Hourly rate in California: $30 - 35 per hour, based on experience.
• Eligibility to participate in Hitachi America's variable pay program.
• Opportunity to grow technical skills and collaborate with leading experts.
• Hands-on experience with modern deep learning frameworks, LLMs, and large-scale datasets.