Agentic AI Intern

Hitachi • Santa Clara, CA

92d • $45

About The Position

Hitachi America, Ltd. has openings for Interns in the Industrial AI lab located in Silicon Valley. The mission of this team is to help create new and innovative solutions that utilize artificial intelligence and advanced analytics of the Industrial Internet of Things (IIoT). The IT innovation team focuses on research, technology innovation, proof-of-concept activities, technical marketing and business development for novel AI solutions, leveraging Hitachi's technologies, reinforcing Hitachi's messaging around big data, and establishing Hitachi as a leader in Industrial AI.

Requirements

• PhD candidate in Computer Science, Robotics, AI, Machine Learning, or a related field.
• Strong understanding of deep learning theory, including transformer-based architectures and fine-tuning methods.
• Familiarity with the instruction fine-tuning lifecycle: data collection, dataset curation, model training, and evaluation.
• Conceptual knowledge of agentic AI, including task planning, memory, and autonomous reasoning (LangChain, OpenAgents, AutoGPT, CrewAI, etc.).
• Experience with Python, Jupyter Notebooks, REST APIs, and collaborative tools like GitHub and Markdown.
• Exposure to multi-modal AI (e.g., language-vision models, audio-text systems) and sensor data integration.
• Practical experience with robotics frameworks (e.g., ROS, PX4), simulation tools (e.g., Gazebo, Isaac Sim), or embedded systems is a strong plus.
• Understanding of reinforcement learning (RL), including policy learning and environment-agent interaction, is a bonus.

Nice To Haves

• Contributions to open-source agentic or generative AI projects.
• Publications or technical blog posts in AI or robotics domains.
• Familiarity with NVIDIA, Hugging Face, and Azure ML model deployment pipelines.

Responsibilities

• Collaborate with research scientists, ML engineers, and product teams to define and develop AI agents for real-world tasks involving physical systems (e.g., drones, mobile robots) and digital environments.
• Build system components that integrate with REST APIs and robot middleware (e.g., ROS), supporting real-time interaction between agents and the physical world.
• Develop tools to support the prompt engineering lifecycle, including prompt libraries, scoring metrics, and agent orchestration frameworks.
• Design, test, and refine high-performance prompts and instructions for instruction fine-tuning pipelines.
• Lead or support the full data lifecycle for instruction fine-tuning, including identifying task objectives, collecting and curating datasets, generating synthetic data when needed, and evaluating fine-tuned models for performance and safety.
• Support multi-modal model development and deployment, focusing on integration with sensor data, vision models, and action plans.
• Contribute to discussions on AI safety, bias, and ethical considerations in autonomous and generative systems.
• Maintain technical documentation and provide internal training/support on best practices.

Benefits

• Opportunity to work on cutting-edge Generative AI technology and contribute to the development of innovative solutions.
• Exposure to a diverse range of Generative AI use cases and the chance to learn from industry experts.
• Competitive compensation and the potential for career growth within a dynamic and fast-paced environment.
• Collaborative and supportive team culture that encourages continuous learning and professional development.

What This Job Offers

• Career Level: Intern
• Industry: Electrical Equipment, Appliance, and Component Manufacturing
• Education Level: Ph.D. or professional degree