Applied Machine Learning, AI Engineering Intern

Ricoh UK

. Build and run evaluation methods to measure machine translation quality across multiple languages .

Posted 10/20/2026full-timeBoulder • Colorado • United StatesEntry Level💰 $26 - $35 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine translation quality evaluation, AI/ML concepts, and natural language processing while effectively collaborating with cross-functional teams. Proficient in Python programming and capable of designing experiments to enhance model performance and usability.

Highest-signal resume keywords

Python ProgrammingMachine Translation Quality EvaluationNatural Language ProcessingAI/ML ConceptsAnalytical Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingData StructuresSoftware Design PrinciplesAlgorithmsMachine Translation Quality EvaluationTerminology CheckingDelta TranslationExperiment DesignAI Output AnalysisAutomation of Translation Pipeline

Soft Skills

Analytical SkillsProblem-SolvingCollaborationIndependenceCommunication

Tools & Technologies

Large Language ModelsXML DocumentationSource Control

Industry Keywords

Computational LinguisticsLanguage TechnologyAI-Driven AutomationProcess Optimization

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Build and run evaluation methods to measure machine translation quality across multiple languages
Develop a terminology checker enforcing Ricoh product terminology and brand language
Implement delta translation to detect and translate changed content
Work with large language models on structured technical content, including XML documentation, tagging, and formatting preservation
Help automate the end-to-end translation pipeline from development teams through source control
Analyze and refine AI outputs to improve accuracy and usability
Contribute working code to an active engineering project alongside full-time engineers
Design and execute experiments evaluating model and pipeline performance, and document results
Collaborate with documentation, software development, and infrastructure teams
Present progress and final results to technical stakeholders and department leadership

Requirements

What you’ll need

Working towards an M.S. or Ph.D. degree in Computer Science, Computer Engineering, Data Science, Linguistics/Computational Linguistics, or a related field
Currently enrolled in an accredited graduate program, or completing an undergraduate degree and enrolled to continue education in an accredited graduate program
Cumulative GPA of 3.0 or higher
Successfully complete all required screenings prior to hire
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

Benefits

Comp & perks

Medical, dental, life, and disability insurance options
Retirement Savings Plan (401K)
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Team member tuition assistance programs
Paid vacation time
Paid holidays annually
Other benefits supporting health, wellness, and ongoing personal and professional development