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Internship Machine Translation Jobs in Michigan (NOW HIRING)

Internship Machine Translation information

What is an internship in machine translation?

An internship in machine translation is a temporary position, often for students or recent graduates, that provides practical experience working with technologies that automatically translate text or speech from one language to another. Interns typically assist with tasks such as building translation models, evaluating translation quality, and improving algorithms using machine learning techniques. The role offers hands-on exposure to natural language processing (NLP), coding, and research, and is valuable for those interested in computational linguistics or AI. It also allows interns to work with experienced professionals in the field and gain insights into both academic and industry practices.

What types of projects and technologies do interns typically work with during a machine translation internship?

As a Machine Translation intern, you can expect to work on projects involving the development, evaluation, or optimization of translation models using state-of-the-art technologies like neural networks, deep learning frameworks (such as TensorFlow or PyTorch), and large multilingual datasets. Interns frequently assist with data preprocessing, refining model architectures, and conducting quality assessments of translation outputs. Collaboration with research scientists, software engineers, and linguists is common, offering valuable exposure to both academic research and real-world product development environments. This hands-on experience is an excellent foundation for a career in natural language processing or computational linguistics.

What are the key skills and qualifications needed to thrive as an internship machine translation specialist, and why are they important?

To thrive in an Internship Machine Translation role, you generally need a background in computer science, linguistics, or a related field, with knowledge of natural language processing concepts. Familiarity with programming languages such as Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and translation tools is often required. Strong analytical thinking, attention to detail, and effective communication help interns collaborate on research and technical tasks. These skills are crucial for developing, testing, and improving translation systems that produce accurate and contextually appropriate results.

What are the most commonly searched types of Machine Translation jobs in Michigan?

The most popular types of Machine Translation jobs in Michigan are:

What are popular job titles related to Internship Machine Translation jobs in Michigan?

For Internship Machine Translation jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Internship Machine Translation jobs in Michigan look for?

The top searched job categories for Internship Machine Translation jobs in Michigan are:

What cities in Michigan are hiring for Internship Machine Translation jobs?

Cities in Michigan with the most Internship Machine Translation job openings:

Infographic showing various Internship Machine Translation job openings in Michigan as of August 2026, with employment types broken down into 81% Full Time, 14% Part Time, 3% Contract, and 2% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

2027 Product Design Office (PDO) - AI Design Internship

Stellantis

Auburn Hills, MI • On-site

Full-time, Internship

Posted 2 days ago

New


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers


Job description

This internship will follow an in-person model. Interns will be based at the Stellantis Headquarters and Technology Center in Auburn Hills, Michigan. Relocation assistance may be available for candidates who meet specific eligibility criteria. The internship program is scheduled to run from May through August 2027. 

STELLANTIS INTERNSHIP PROGRAM HIGHLIGHTS:

The Stellantis Internship Program offers a unique opportunity for highly motivated, innovative, and inspired individuals to work on challenging assignments where contribution, teamwork and communication are vital to the success of the organization. As a leading-edge company, we provide real world challenges and rewarding intern experiences to candidates from a variety of colleges and universities while providing a competitive salary.  

Interns will be assigned to a department based on the candidate’s background and skill set. The assignments are project-oriented, meaningful to the department and allow the intern to provide valuable contributions. Interns experience a sense of personal accomplishment and learn about the corporate business culture through work assignments, structured activities, and exclusive intern networking events. Interns that demonstrate outstanding qualities may be invited back for a return internship the following summer or may be considered for full-time positions.   

Internship Benefits:  

  • Exposure to cutting-edge projects and technologies    
  • Collaborative work environment    
  • Mentorship from experienced professionals    
  • Networking opportunities with peers and leaders    
  • Skill development workshops and training sessions  
  • Paid US holidays  
  • Stellantis Employee Advantage Vehicle Discount Program  
  • Eligible interns may be able to participate in the Company Vehicle Employee Lease Program  

DEPARTMENT DETAILS:
 

The AI Design Intern supports the AI Design Hub in developing, testing, and deploying AI-enabled workflows that improve speed, capability, knowledge access, and decision-making across the Design development process. This is a project-based assignment, not an administrative one. Interns are embedded with designers and studio engineering, work on real pain points, and are expected to leave having built things that Design can actually use. 
What They Will Work On: 

  • AI workflow development: prototype AI agents, automations, and tools built around real Design pain points. 
  • 3D and geometry automation: support experimentation with AI-assisted 3D creation, surfacing, morphing, Blender workflows, and geometry translation. 
  • Packaging intelligence: help develop AI-assisted packaging tools drawing on engineering standards, vehicle architecture data, competitive benchmarks, and Design requirements. 
  • Design knowledge: organize and structure Design data so AI can retrieve historical programs, standards, lessons learned, and best practices. 
  • Rapid prototyping: turn ideas from designers and studio engineering into working proof-of-concepts quickly. 
  • Testing and validation: work directly with designers to test prototypes, document performance, and identify where AI genuinely improves the workflow. 
  • Value measurement: help quantify time saved, process compression, rework reduction, capacity created, and other FastLane 2030 benefits. 

Expected Internship Output:

Each intern is expected to finish the internship with two to three working AI prototypes tied to real Design workflows, each with measurable before-and-after impact and a recommendation for what should scale next. 

Each intern is paired with a mentor and works alongside the Hub lead, the AI Portfolio and Execution Lead, regional AI and data leads, and matrixed ICT partners, with exposure to the AI Design Ambassador network across the Chrysler, Jeep, Dodge, and Ram studios. Project assignment will consider company needs and student preference, and interns will present their prototypes and results to Design leadership at the end of the program. 

Tools and Environment:
 

Interns build inside the Stellantis-approved AI environment, using company platforms rather than personal accounts for company data. The Hub provides: 

  • Microsoft Visual Studio Code as the primary development environment, with GitHub Copilot for code assistance 
  • Microsoft 365 Copilot and Copilot Studio for daily productivity and for building agents 
  • The Stellantis GenAI Playground, the internal no-code chat environment for testing prompts and ingesting data across ChatGPT (GPT), Claude, and other approved large language models 
  • The GenAI Gateway, which gives secure, cost-controlled API access to the GPT, Claude, Mistral, Cohere, DeepSeek, Llama, Nova, and Titan model families 
  • Stell.AI, the Databricks platform for Python development, machine learning with scikit-learn, PyTorch, and XGBoost, and generative AI through the Gateway or open-source libraries such as Hugging Face Transformers 
  • Snowflake for data warehousing, together with Blender and the studio 3D toolchain for geometry and visualization work 

PORTFOLIO AND WORK SAMPLE REQUIREMENTS:
 

This position requires a portfolio in PDF format be submitted with your application. Applications will not be processed without meeting this requirement. Because this is a technical role within a design organization, the portfolio may combine code and design work. Please ensure your submission meets the following requirements: 

  • Your portfolio should represent your skills as they pertain to the position to which you are applying, including software, scripting, data, or applied AI projects 
  • Your most current work should be presented first and displayed in descending order from most current to oldest 
  • Provide a brief description of your specific contribution to each project, particularly for team or class projects 
  • Links to public code repositories, demos, or videos may be included in addition to the PDF portfolio 

Basic Qualifications:

  • Pursuing a bachelor's degree or higher from an accredited college or university in Computer Science, Software Engineering, Data Science, Human-Computer Interaction, Design Technology, or a related field 
  • Working knowledge of Python or a comparable programming language 
  • Proficient with Microsoft Office Suite applications 
  • Able to work full-time, 40 hours per week during the internship 
  • Willingness to relocate for internship 
  • Completion of freshman year or higher at an accredited college or university by Spring 2027 
  • Authorized to work in the United States 
  • Candidates must submit a current portfolio, saved as a PDF, representing work from freshman year to the present, specifically highlighting software, data, or applied AI projects 

Preferred Qualifications:

  • Completion of sophomore year or higher at an accredited university by the internship start date 
  • Experience building with large language models, generative image or video tools, or machine learning frameworks 
  • Familiarity with scripting inside creative or 3D software such as Alias, Blender, Maya, or Unreal Engine 
  • Experience working with data: SQL, pandas, APIs, or building simple data pipelines 
  • Ability to prototype lightweight applications or interfaces to put a model in front of real users 
  • Comfort working in Microsoft Visual Studio Code, including Git version control and AI coding assistants such as GitHub Copilot 
  • Exposure to Microsoft 365, Copilot Studio, Power Platform, or similar enterprise collaboration and automation tools 
  • Strong interest in the automotive industry, design, and new technologies 
  • Strong written and verbal communication skills, with the ability to explain technical work to designers 
  • Ability to work in a team environment and exhibit strong leadership characteristics 
  • Creative and innovative thinking 
     

STELLANTIS DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP (e.g., H-1B, TN, STEM OPT, F-1, etc.) FOR THIS ROLE. IF YOU WILL REQUIRE SPONSORSHIP NOW OR IN THE FUTURE IN ORDER TO WORK IN THIS POSITION, PLEASE DO NOT APPLY.  


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