Applied Data Science Intern Generative AI

Ricoh Electronics • Boulder, CO

84d

About The Position

Ricoh USA is seeking a Data Science Intern to focus on Generative AI during Summer 2026. You will work with large and varied datasets drawn from machine data, operational records, and internal knowledge sources, applying advanced AI techniques using AWS-native frameworks and services alongside high-performance compute environments. The internship provides the opportunity to explore state-of-the-art methods and contribute solutions with real-world impact.

Requirements

• Currently enrolled student in Data Science, Computer Science, Electrical/Computer Engineering, Applied Mathematics, or a related field.
• Strong background in machine learning, natural language processing, and/or deep learning.
• Proficiency in Python and modern ML/AI frameworks.
• Familiarity with cloud-based machine learning platforms (AWS preferred).
• Strong analytical and problem-solving skills.

Nice To Haves

• Master's-level student (PhD candidates also welcome).
• Prior research or project experience with generative AI.
• Experience working with large, heterogeneous datasets.
• Exposure to data engineering concepts (ETL, feature engineering, pipeline development).
• Knowledge of agentic AI systems or standards such as Model Context Protocol (MCP).
• Publication record, open-source contributions, or demonstrable project portfolio.

Responsibilities

• Develop, fine-tune, and evaluate generative AI and large language models using AWS frameworks and platforms.
• Analyze multimodal datasets (machine telemetry, service data, documentation, unstructured text, and internal knowledge systems) to derive insights and support decision-making.
• Design retrieval-augmented generation (RAG), summarization, and recommendation solutions that connect across multiple data sources.
• Apply Model Context Protocol (MCP) and design agentic workflows that allow LLMs to interact seamlessly with diverse enterprise systems and autonomously perform multi-step tasks.
• Collaborate with cross-functional teams to ensure models can be deployed in cloud-based workflows.
• Present research findings, prototypes, and results to technical and business stakeholders.

Benefits

• Gain exposure to advanced hardware, massive data, and cutting-edge AI in a global enterprise setting.
• Opportunity to make contributions with immediate relevance to real-world products, operations, and customers.

What This Job Offers

• Career Level: Intern
• Industry: Machinery Manufacturing
• Education Level: Bachelor's degree