Job description

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 2027 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 is seeking a highly motivated summer intern to help build an AI-powered globalization platform that translates our product documentation and software into eleven languages. Our translation process has already moved from fully manual to hybrid automation, and the next step is to bring translation fully in-house: an automated, AI-driven pipeline that reduces turnaround from weeks to a single day while raising translation quality and consistency. The intern will join this project during its validation and pilot phases, working on the machine learning and engineering problems that determine whether an automated translation can be trusted enough to ship to customers. This is applied work on a system with real users, measurable cost impact, and a clear path to production. Examples of summer projects: • Build and run evaluation methods that measure machine translation quality across multiple languages, and help define what “good enough to ship” means for customer-facing content. • Develop a terminology checker that enforces Ricoh product terminology and brand language consistently across every supported language. • Implement delta translation—detecting and translating only changed content—to cut token cost and processing time on document updates. • Work with large language models to improve translation accuracy on structured technical content, including XML-based documentation, tagging, and formatting preservation. • Help automate the end-to-end pipeline that receives translation packages from development teams, processes them, and checks completed translations back into source control. • Analyze and refine AI outputs to improve accuracy and usability, and present findings to cross-functional development, documentation, and localization teams. Job Duties and Responsibilities • Contribute working code to an active engineering project alongside full-time engineers. • Design and execute experiments to evaluate model and pipeline performance, and document the results. • Collaborate with cross-functional teams across documentation, software development, and infrastructure. • Present progress and final results to technical stakeholders and department leadership. Qualifications (Education, Experience, and Certifications) • Working towards an M.S. or Ph.D. degree in Computer Science, Computer Engineering, Data Science, Linguistics/Computational Linguistics, or a related field • Student must be currently enrolled in an accredited graduate program, or completing an undergraduate degree and 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 Skills • Excellent programming skills in Python, with a good understanding of data structures, software design principles, and algorithms • Familiarity with AI/ML concepts, natural language processing, and data processing • Strong analytical and problem-solving skills, including the ability to design a fair evaluation of a system’s output • Ability to work independently and collaborate with a team • Interest in language technology, AI-driven automation, and process optimization Preferred Skills • Hands-on experience working with large language models or generative AI APIs, including prompt design and output evaluation • Experience using Claude and AI-assisted development workflows in Visual Studio Code, or comparable AI developer tooling • Experience with machine translation, internationalization/localization, or multilingual datasets • Familiarity with structured document formats (XML, DITA, JSON, YAML) and text parsing • Experience with cloud services (AWS) and building or consuming REST APIs • Working knowledge of Git and standard software development workflows • Reading or speaking proficiency in a second language, particularly Japanese, German, French, Spanish, Chinese, or Korean • Skilled in explaining and presenting analyses and machine learning concepts to a broad technical audience 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. Ricoh is an EEO/Affirmative Action Employer -- Minorities/Women/Protected Veterans/Disabled.

Requirements

Must-haves

Applied Machine Learning and AI Engineering Intern
Come Create at Ricoh
Position Profile
Build and run evaluation methods that measure machine translation quality across multiple languages, and help define what “good enough to ship” means for customer-facing content.
Develop a terminology checker that enforces Ricoh product terminology and brand language consistently across every supported language.
Implement delta translation—detecting and translating only changed content—to cut token cost and processing time on document updates.
Work with large language models to improve translation accuracy on structured technical content, including XML-based documentation, tagging, and formatting preservation.
Help automate the end-to-end pipeline that receives translation packages from development teams, processes them, and checks completed translations back into source control.
Analyze and refine AI outputs to improve accuracy and usability, and present findings to cross-functional development, documentation, and localization teams.
Job Duties and Responsibilities
Contribute working code to an active engineering project alongside full-time engineers.
Design and execute experiments to evaluate model and pipeline performance, and document the results.
Collaborate with cross-functional teams across documentation, software development, and infrastructure.
Present progress and final results to technical stakeholders and department leadership.
Qualifications (Education, Experience, and Certifications)

Nice-to-haves

Hands-on experience working with large language models or generative AI APIs, including prompt design and output evaluation
Experience using Claude and AI-assisted development workflows in Visual Studio Code, or comparable AI developer tooling
Experience with machine translation, internationalization/localization, or multilingual datasets
Familiarity with structured document formats (XML, DITA, JSON, YAML) and text parsing
Experience with cloud services (AWS) and building or consuming REST APIs
Working knowledge of Git and standard software development workflows
Reading or speaking proficiency in a second language, particularly Japanese, German, French, Spanish, Chinese, or Korean
Skilled in explaining and presenting analyses and machine learning concepts to a broad technical audience
Ricoh is an EEO/Affirmative Action Employer -- Minorities/Women/Protected Veterans/Disabled.

Application prep

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Keywords to mirror

machine learningaipythonmlawsrest

Platform: oracle-cloud
Effort: medium