Top Internships in Ann Arbor, MI

The Digital Media Intern will collaborate with the Marketing Director, contribute to design concepts, and support branding and marketing initiatives.

As an R&D Intern, you will document cloud infrastructure for AI integration in enterprise imaging, collaborate with various teams, and create technical documentation and architecture diagrams.

Assist the Digital Marketing team by managing website content, ensuring accuracy, supporting SEO optimization, and maintaining resource libraries.

The Research Intern will assist in data curation, exploratory analysis, and implementation of machine learning models in healthcare applications.

The intern will assist in creating marketing strategies, collaborating with the team, and participating in idea discussions to drive engagement for brands.

As an AI Engineering Intern, you will automate engineering workflows, develop AI agents, and optimize Retrieval-Augmented Generation pipelines, collaborating with teams to enhance efficiency while ensuring data security.

As a Go-to-Market Analyst Intern, you'll manage program tracking, facilitate cross-functional coordination, draft documentation, analyze data for insights, and support sales play development.

The intern will support Kiva's Review and Translation Program by engaging volunteers, assisting in recruitment and event planning, and enhancing communication tools.

The Managed Lending Partner Success Intern will document and organize information, improve partner-facing resources, and assist with operational support, while gaining exposure to document management and cross-functional collaboration.

The Research Scientist Intern will architect algorithms, train AI models, collaborate with healthcare professionals, and publish research in medical AI applications.

Support the Product team by maintaining project documentation, organizing Jira workflows, assisting with reporting, and coordinating meetings. Gain exposure to project management and Agile practices while collaborating in a fast-paced environment.

Intern will work on business analysis, Salesforce platform administration, technical development, project management, and testing strategies under mentorship in various IT areas.

The Engineering Intern supports systems engineering and analysis, collaborates with team members, and helps model complex systems while learning best practices.

The Business and Operations Intern will support System Strategy, Inc. in developing internal processes and product management activities through collaboration and research, enhancing user experience and marketing efforts.

As an engineering intern, you will develop AI solutions, collaborate with teams, optimize algorithms, document your work, and showcase projects.

Interns will work on AI agents, data reporting pipelines, and product features in a hands-on environment, collaborating with senior engineers.

This internship involves data instrumentation, signal analysis, development of detection logic, and integration documentation related to fraud detection and behavioral analytics.

This internship involves assisting with the design and implementation of a Kanban system for inventory management, focusing on improving workflows and data entry in SAP.

Interns will prototype rapidly, iterate, and contribute to open-source projects at the intersection of AI and cryptography.

The Talent Acquisition Intern will assist with interview coordination, job postings, candidate communication, initial resume reviews, and support talent acquisition initiatives.

The Marketing Intern will support the AI/LLM Indexing Program by executing content, PR, and SEO initiatives, ensuring visibility and citation in AI platforms.

NextGen offers an internship for students to learn data science and machine learning. Interns will receive mentorship and work on real projects, gaining skills in Python, ML algorithms, data analysis, and visualization.

This internship offers practical experience in business operations, providing hands-on support in HR, accounting, and administrative tasks while matching students with mentors for professional growth.

Interns will engage in software engineering tasks, including programming, software implementation, and support activities under mentor supervision, gaining hands-on experience.

Contribute to cloud-native services and tooling for a GPU cloud platform: work on Kubernetes scheduling, APIs, automation, IaC, CI/CD, testing, code reviews, and cross-functional features.