Applied Machine Learning and AI Engineering Intern 

Come Create at Ricoh

If you are seeking a team driven by passion and purpose, come create with us at Ricoh. We are a team of information seekers and customer-obsessed collaborators who aspire to deliver the services, solutions, and technologies that empower business success. We are looking for talented, inspired individuals to join us during the summer of 2026 to help drive high-performance teams and our commitment to excellence.

Ricoh is an integrated solutions provider and partner that connects people and technology, creates outstanding customer experiences, and delivers innovation for businesses worldwide. We empower digital workplaces by enabling individuals to work smarter from any location and harness the power of information—how it is collected, stored, managed, and shared—to unlock the potential in every organization. We deliver services and technologies that inspire our customers’ success and guide them toward a better and more sustainable future. If you are seeking a purpose-driven and passionate team, come create with us, and help drive our high-performance culture of excellence into tomorrow.

Position Profile

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.

Job Duties and 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.

QUALIFICATIONS (Education, Experience, and Certifications)

Working towards - B.S., M.S., or PhD. degree in Computer Science, Computer Engineering, or a related field Student must be currently enrolled in an accredited college or university or enrolled to continue their education in an accredited graduate program Students must have a cumulative GPA of 3.0 or higher Students are to successfully complete all required screenings prior to hire

Knowledge, Skills, and Abilities:

Required

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.

Preferred

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.

WORKING CONDITIONS, MENTAL AND PHYSICAL DEMANDS

Typically works in an office environment with adequate lighting and ventilation, and a normal range of temperature and noise level.  Work assignments are diversified. Interpret, comprehend and apply complex material, data and instruction.  Prepare, provide and convey diversified information. Minimal physical effort required. Work is mostly sedentary but does require walking, standing, bending, reaching, lifting or carrying objects that typically with less than 10 lbs. (e.g., papers, books, files and small parts, etc.). Moderate dexterity.  Regular application of basic skills (calculator, keyboard, hand tools, eye/hand coordination.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.

Why Join Ricoh

At Ricoh, you’ll gain exposure to advanced hardware, massive data, and cutting-edge AI in a global enterprise setting. Interns have the chance to make contributions with immediate relevance to real-world products, operations, and customers.

Ricoh is an EEO/Affirmative Action Employer -- Minorities/Women/Protected Veterans/Disabled.