Top Remote Internships in Minneapolis, MN

Perform ML/AI research and implement/train algorithms on healthcare data, evaluate performance, communicate results across interdisciplinary teams, and document findings for internal use and publication.

The Experience Design Intern will assist in problem framing, innovative design solutions, and collaborate with various teams to enhance user experiences through human-centered design methods, prototyping, and user research.

As a Technical Content Developer Intern, you'll create impactful technical documentation to enhance customer success with Dropbox products and support cross-departmental needs.

As a Research Scientist Intern, you'll work on machine learning problems, prototype features, write production code, and collaborate with mentors.

As a Machine Learning Intern, you'll prototype and evaluate ML systems, collaborate with teams, and analyze large datasets to improve user experiences.

As a People Intern, you'll assist in HR functions, coordinate intern experiences, support onboarding, and improve employee programs through research and content creation.

As a Project Management Intern, you'll support marketing initiatives by managing project timelines, coordinating meetings, and optimizing processes, while collaborating with the team.

The intern will gain hands-on experience in accounting, SEC reporting, and blockchain operations, contributing to financial processes and reporting cycles at Circle.

As an AI/ML Research Intern, you will advance AI/ML research, implement algorithms, and publish findings to enhance healthcare outcomes through collaboration and innovation.

The Data Science Intern will analyze data, apply NLP techniques, develop solutions using LLMs, and communicate insights effectively.

As a Data Science Engineer Intern, you'll design and maintain data pipelines, support analytics, and collaborate with teams to ensure data quality and usability.

The intern will support the Brand & Creative team in managing partnerships, enhancing operational excellence, and improving workflows, while conducting research on creative talent.

Interns will support the Treasury Execution and Digital Operations team by conducting financial due diligence, evaluating capital impacts, and enhancing AI tools for operational efficiency.

As a PhD Systems & AI/ML Research Intern, you'll work on infrastructure problems, build prototypes, run benchmarks, and document findings.

This internship role focuses on SRE skills, requiring collaboration and problem-solving in dynamic environments for Zscaler's Zero Trust Exchange team.

As a Support Enablement Engineer Intern, you will support AI-driven initiatives to enhance customer support workflows and improve operational efficiency.

As a User Experience Research Intern, you'll conduct research on AI-powered workflows, generate insights, collaborate with product teams, and present findings to stakeholders.

As a Machine Learning Engineer Intern, you'll enhance model performance, develop production-grade tools, and automate workflows while receiving mentorship from experienced ML professionals.

Support finance transformation projects by optimizing processes through automation and analytics. Collaborate with cross-functional teams and contribute to an AI use case library.

The Threat and Vulnerability Analyst Intern will assist in identifying and mitigating cybersecurity threats, analyze threat intelligence, and support risk management efforts.

As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.

The intern will create and maintain educational videos while learning production workflows, contributing to content organization, quality, and analytics.

The Content Design Intern will craft user-focused content, collaborate with design teams, and enhance user experiences at Dropbox while receiving mentorship and feedback.

As a Data Science Intern, you will analyze data, communicate insights to stakeholders, and collaborate with ML scientists to enhance products and models.

Design and deploy internal automation workflows using n8n and Agentic AI, integrate internal systems (CRM/ATS/ERP), build rapid prototypes, deploy AI agents, and optimize scalable processes to accelerate company operations.