AI ML Intern Jobs in Minnesota
AI ML Intern jobs in Minnesota concentrate in the Minneapolis-Saint Paul metro, Rochester, and Duluth, where companies like UnitedHealth Group, 3M, and Cargill maintain substantial data science and engineering teams that regularly bring on interns. The most in-demand specialties are natural language processing, computer vision, and predictive modeling pipelines tied to healthcare analytics and supply chain optimization. Openings range from first-year undergraduates in exploratory rotations to graduate students leading independent research workstreams. Find a role that fits below and apply directly.
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See related jobsPay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
JOIN TARGET AS A LEAD AI ENGINEER - ADANCED AI
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
About the role:
Target’s Advanced AI team builds end-to-end AI/ML systems that create meaningful business value across the enterprise. These systems may be powered by LLMs, classical machine learning, or deep learning models, and are designed as scalable, reliable, production-grade applications, including agentic architectures where they add clear value.
As a Lead AI Engineer for Advanced AI, you will help design, build, deploy, and maintain AI/ML applications that support automation, insight, and action across core business workflows. You will work closely with Data Scientists, engineers, product partners, platform teams, security teams, and business stakeholders to turn ambiguous business problems into practical, scalable technical solutions.
In this role, you will provide hands-on technical leadership for AI engineering initiatives. You will contribute to architecture and design decisions, evaluate appropriate models, frameworks, and tools, write maintainable production-quality code, and help establish strong engineering practices across development, testing, deployment, observability, documentation, and ongoing support. You will help ensure AI applications are secure, reliable, maintainable, and aligned to Target’s enterprise standards for infrastructure, platform architecture, data handling, and operational readiness.
You will also partner with senior engineers and engineering leaders to shape technical approaches, identify implementation risks, resolve roadblocks, and support the evolution of reusable AI engineering patterns. This role requires curiosity and continuous learning, including staying current with developments in AI, machine learning, LLMs, agentic systems, and modern software engineering practices. A successful Lead AI Engineer will help deliver production-grade AI applications that create measurable business value while raising the technical quality and capability of the broader team.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
- 4-year degree in Quantitative disciplines (Science, Tech, Engineering, Mathematics) or equivalent industry experience required; MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field preferred
- 5+ years of hands-on software engineering experience, including experience building and operating production systems
- Strong experience developing AI/ML applications, including LLM-powered applications, agentic systems, applied machine learning solutions, data-intensive applications, or intelligent automation capabilities
- Strong proficiency with Python and experience with modern AI/ML or deep learning frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel, or similar tools
- Experience working with model APIs, prompt orchestration, agent development patterns, retrieval-augmented generation, evaluation frameworks, observability tools, cloud ML platforms, containers, or orchestration technologies
- Strong understanding of system design, application architecture, model and framework tradeoffs, experimentation, evaluation strategy, performance optimization, and production deployment considerations for AI systems
- Experience building scalable, maintainable, and well-tested services, APIs, data pipelines, applications, or platforms
- Experience with version control, CI/CD, code review practices, documentation, operational monitoring, and production support
- Ability to translate ambiguous business problems into clear technical approaches and collaborate with cross-functional partners to deliver practical solutions
- Strong communication skills, with the ability to explain technical concepts clearly to engineers, Data Scientists, product partners, business stakeholders, and leaders
- Ability to mentor engineers, contribute to technical direction, and raise the quality of engineering practices within a team
- Self-driven and results-oriented, with strong ownership, sound judgment, and the ability to move quickly while maintaining high technical standards
- Collaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable AI systems that create business value
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_EAmericans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 11/19/2026Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
JOIN TARGET AS A LEAD AI ENGINEER - ADANCED AI
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
About the role:
Target’s Advanced AI team builds end-to-end AI/ML systems that create meaningful business value across the enterprise. These systems may be powered by LLMs, classical machine learning, or deep learning models, and are designed as scalable, reliable, production-grade applications, including agentic architectures where they add clear value.
As a Lead AI Engineer for Advanced AI, you will help design, build, deploy, and maintain AI/ML applications that support automation, insight, and action across core business workflows. You will work closely with Data Scientists, engineers, product partners, platform teams, security teams, and business stakeholders to turn ambiguous business problems into practical, scalable technical solutions.
In this role, you will provide hands-on technical leadership for AI engineering initiatives. You will contribute to architecture and design decisions, evaluate appropriate models, frameworks, and tools, write maintainable production-quality code, and help establish strong engineering practices across development, testing, deployment, observability, documentation, and ongoing support. You will help ensure AI applications are secure, reliable, maintainable, and aligned to Target’s enterprise standards for infrastructure, platform architecture, data handling, and operational readiness.
You will also partner with senior engineers and engineering leaders to shape technical approaches, identify implementation risks, resolve roadblocks, and support the evolution of reusable AI engineering patterns. This role requires curiosity and continuous learning, including staying current with developments in AI, machine learning, LLMs, agentic systems, and modern software engineering practices. A successful Lead AI Engineer will help deliver production-grade AI applications that create measurable business value while raising the technical quality and capability of the broader team.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
- 4-year degree in Quantitative disciplines (Science, Tech, Engineering, Mathematics) or equivalent industry experience required; MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field preferred
- 5+ years of hands-on software engineering experience, including experience building and operating production systems
- Strong experience developing AI/ML applications, including LLM-powered applications, agentic systems, applied machine learning solutions, data-intensive applications, or intelligent automation capabilities
- Strong proficiency with Python and experience with modern AI/ML or deep learning frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel, or similar tools
- Experience working with model APIs, prompt orchestration, agent development patterns, retrieval-augmented generation, evaluation frameworks, observability tools, cloud ML platforms, containers, or orchestration technologies
- Strong understanding of system design, application architecture, model and framework tradeoffs, experimentation, evaluation strategy, performance optimization, and production deployment considerations for AI systems
- Experience building scalable, maintainable, and well-tested services, APIs, data pipelines, applications, or platforms
- Experience with version control, CI/CD, code review practices, documentation, operational monitoring, and production support
- Ability to translate ambiguous business problems into clear technical approaches and collaborate with cross-functional partners to deliver practical solutions
- Strong communication skills, with the ability to explain technical concepts clearly to engineers, Data Scientists, product partners, business stakeholders, and leaders
- Ability to mentor engineers, contribute to technical direction, and raise the quality of engineering practices within a team
- Self-driven and results-oriented, with strong ownership, sound judgment, and the ability to move quickly while maintaining high technical standards
- Collaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable AI systems that create business value
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_EAmericans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 11/19/2026See All 5 AI ML Intern Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find AI ML Intern JobsAI ML Intern Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
AI ML Intern Job Market in Minnesota
A snapshot from current Minnesota openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
What Minnesota Employers Look For
The qualifications that appear most often in AI ML intern jobs across Minnesota.
- Currently enrolled in a computer science, data science, or machine learning degree program
- Hands-on experience with Python and common ML frameworks such as PyTorch or TensorFlow
- Familiarity with data preprocessing, feature engineering, and model evaluation workflows
- Ability to work on-site or hybrid from a Minnesota office during the internship period
- Strong communication skills for presenting findings to cross-functional Minnesota-based teams
- Experience with version control tools such as Git and collaborative coding environments
AI ML Intern Jobs in Minnesota: Frequently Asked Questions
How do you become a ai ml intern in Minnesota?
The most direct path is enrolling in a computer science, data science, or statistics program at a Minnesota university such as the University of Minnesota Twin Cities, University of Minnesota Duluth, or Minnesota State University Mankato, then applying to internship programs during your sophomore or junior year. No state-issued license is required, but completing coursework in machine learning fundamentals and building a portfolio of applied projects strengthens applications to Minnesota employers significantly.
Which companies hire ai ml interns in Minnesota?
Companies currently hiring ai ml interns in Minnesota include Target, Optum, and Wipro, per current listings on Migrate Mate as of November 2026. Minnesota's concentration of Fortune 500 headquarters in healthcare, retail, and manufacturing means intern cohorts here tend to work on applied problems with real production data.
Which Minnesota cities have the most ai ml intern jobs?
Brooklyn Park, Minnetonka, and Saint Paul account for the largest share of ai ml intern openings in Minnesota. The Minneapolis-Saint Paul metro drives the majority of postings given its density of corporate headquarters, health systems, and technology firms, while Rochester benefits from Mayo Clinic's substantial AI research division and smaller cities like Bloomington and Eden Prairie attract openings from established suburban tech campuses.
Are there remote ai ml intern jobs in Minnesota?
Yes, and more than most fields. About 100% of ai ml intern openings tied to Minnesota are remote or hybrid as of November 2026, reflecting how well analytical and modeling work translates to distributed collaboration. The portions of the role most likely to stay fully remote are dataset preparation, model prototyping, and literature review, while on-site expectations typically apply to team presentations and final project reviews.
How can I get hired as a ai ml intern in Minnesota with little or no experience?
The most realistic entry path is applying to structured summer intern cohorts that large Minnesota employers run specifically for students with limited professional experience, such as UnitedHealth Group's technology internship program or 3M's data science rotational track. Building a publicly visible project portfolio on GitHub, completing a Kaggle competition, or contributing to a University of Minnesota research lab gives hiring managers concrete evidence of ability when a resume is otherwise thin. Adjacent roles like data analyst intern or research assistant at a Minnesota university often serve as stepping stones into dedicated ML positions.
Where can I find and apply to ai ml intern jobs in Minnesota?
You can find and apply to ai ml intern jobs in Minnesota on Migrate Mate, which lists current Minnesota openings updated regularly. Search the listings for roles that match your program year, specialization, and preferred location, then apply directly to the ones that fit.
See All 5 AI ML Intern Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
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