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.
Find AI ML Intern JobsOverview
Showing 5 of 8+ AI ML Intern jobs
About Us:
DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world's most recognized brands. By providing real-time access to earned pay and financial wellness tools, DailyPay helps employees manage their finances and helps employers attract and retain talent. DailyPay is helping define the future of pay, where money moves at the speed of work.. Learn more at DailyPay's Press Center.
The Role:
DailyPay is seeking a Senior AI & ML Scientist to join our Data Science team.
This is a high-impact individual contributor role for an AI & ML scientist who executes complex modeling work with excellence and is growing their strategic influence across product and business stakeholders.
You will build and maintain the models and decision systems that personalize the DailyPay product experience — from optimizing financial decisions for workers, to personalizing communications and user experiences, to supporting fraud controls. You will contribute to the data infrastructure the team needs and follow established standards for production-grade ML.
This role is right for someone who does excellent, rigorous hands-on work and is ready to grow their ability to translate that work into clear business impact.
If this opportunity excites you, we encourage you to apply even if you do not meet all of the qualifications.
How You Will Make an Impact:
Build, improve, and maintain ML models for personalizing the user experience including on-demand pay balance optimization, content personalization, and fraud controls.
Build reliable data pipelines and features for model development, following team infrastructure standards. Identify gaps in data infrastructure along the way and advocate for solutions with engineering partners.
Develop, evaluate, deploy, monitor, and improve both batch and real time models following established production standards.
Stay current on AI/ML developments and apply sound judgment in algorithm selection and technique adoption by evaluating tradeoffs across modeling approaches and recommending the best tool for the problem.
Write clean, well-documented, traceable, versioned, and reproducible code across all model development and pipeline work, following team standards for maintainability and auditability.
Follow and contribute to data quality standards and validation practices; flag issues proactively and help improve team patterns.
Partner with product and engineering on scoped problem areas, translating defined business questions into well-structured DS solutions. Bring senior DS leadership in early on ambiguous or high-stakes problem framing.
Communicate model results and tradeoffs clearly to product and cross-functional partners, connecting technical outputs to business outcomes.
What You Bring to The Team:
5+ years of Machine Learning experience within fintech, payments, or a similarly regulated consumer domain. With a proven track record of shipping production models that directly impact the end-user experience.
Bachelor’s or advanced degree in a quantitative discipline (e.g., computer science, machine learning, statistics, data science, Machine Learning)
Track record of independently building models that drive measurable business outcomes; experience seeing your own work through to production, including partnering with stakeholder teams to define success metrics and connect model performance to business value.
Experience building and maintaining reliable feature engineering pipelines, with advanced SQL and Python skills and a working knowledge of the data infrastructure that supports model development at scale.
Hands on experience with end-to-end model deployment; data pipelines, model monitoring, drift detection, and A/B test execution, with a strong instinct for production reliability.
Experience owning models in production environments where failures have real financial or compliance consequences.
Strong proficiency across modern AI, classical ML, statistical, and probabilistic methods; experience translating well-defined business objectives into modeling approaches and evaluating them rigorously.
What We Offer:
Exceptional health, vision, and dental care
Opportunity for equity ownership
Life and AD&D, short- and long-term disability
Employee Assistance Program
Employee Resource Groups
Fun company outings and events
Unlimited PTO
401K with company match
High-performing cultures aren't built in silos, they thrive on partnership. At DailyPay, we Commit Together to an inclusive, professional environment where multifaceted perspectives are our greatest competitive advantage. We recognize that our team members don’t live “single-issue lives,” and we lean into the wide-ranging backgrounds and life stages that sharpen our collective decision-making.
In our high-trust environment, we empower you to Challenge Norms. We’ve created a space where it is safe to ask difficult questions, disrupt the status quo, and share bold perspectives without fear of professional fallout. We believe that by checking our own assumptions and staying curious about the experiences of others, we arrive at better, more innovative results.
We provide the space for you to do your best work through peer advocacy and transparent career development. If you are looking for a culture that values intellectual honesty, celebrates the unique lived experiences of its people, and thrives on collective success, you’ll find it here.
If you require reasonable accommodation for any aspect of the recruitment process, please send a request to peopleops@dailypay.com. All requests for accommodation will be addressed as confidentially as practicable.
DailyPay is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion or creed, alienage or citizenship status, political affiliation, marital or partnership status, age, national origin, ancestry, physical or mental disability, medical condition, veteran status, gender, gender identity, pregnancy, childbirth (or related medical conditions), sex, sexual orientation, sexual and other reproductive health decisions, genetic disorder, genetic predisposition, carrier status, military status, familial status, or domestic violence victim status and any other basis protected under federal, state, or local laws.
Compensation Range: $179K - $250K
About Us:
DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world's most recognized brands. By providing real-time access to earned pay and financial wellness tools, DailyPay helps employees manage their finances and helps employers attract and retain talent. DailyPay is helping define the future of pay, where money moves at the speed of work.. Learn more at DailyPay's Press Center.
The Role:
DailyPay is seeking a Senior AI & ML Scientist to join our Data Science team.
This is a high-impact individual contributor role for an AI & ML scientist who executes complex modeling work with excellence and is growing their strategic influence across product and business stakeholders.
You will build and maintain the models and decision systems that personalize the DailyPay product experience — from optimizing financial decisions for workers, to personalizing communications and user experiences, to supporting fraud controls. You will contribute to the data infrastructure the team needs and follow established standards for production-grade ML.
This role is right for someone who does excellent, rigorous hands-on work and is ready to grow their ability to translate that work into clear business impact.
If this opportunity excites you, we encourage you to apply even if you do not meet all of the qualifications.
How You Will Make an Impact:
Build, improve, and maintain ML models for personalizing the user experience including on-demand pay balance optimization, content personalization, and fraud controls.
Build reliable data pipelines and features for model development, following team infrastructure standards. Identify gaps in data infrastructure along the way and advocate for solutions with engineering partners.
Develop, evaluate, deploy, monitor, and improve both batch and real time models following established production standards.
Stay current on AI/ML developments and apply sound judgment in algorithm selection and technique adoption by evaluating tradeoffs across modeling approaches and recommending the best tool for the problem.
Write clean, well-documented, traceable, versioned, and reproducible code across all model development and pipeline work, following team standards for maintainability and auditability.
Follow and contribute to data quality standards and validation practices; flag issues proactively and help improve team patterns.
Partner with product and engineering on scoped problem areas, translating defined business questions into well-structured DS solutions. Bring senior DS leadership in early on ambiguous or high-stakes problem framing.
Communicate model results and tradeoffs clearly to product and cross-functional partners, connecting technical outputs to business outcomes.
What You Bring to The Team:
5+ years of Machine Learning experience within fintech, payments, or a similarly regulated consumer domain. With a proven track record of shipping production models that directly impact the end-user experience.
Bachelor’s or advanced degree in a quantitative discipline (e.g., computer science, machine learning, statistics, data science, Machine Learning)
Track record of independently building models that drive measurable business outcomes; experience seeing your own work through to production, including partnering with stakeholder teams to define success metrics and connect model performance to business value.
Experience building and maintaining reliable feature engineering pipelines, with advanced SQL and Python skills and a working knowledge of the data infrastructure that supports model development at scale.
Hands on experience with end-to-end model deployment; data pipelines, model monitoring, drift detection, and A/B test execution, with a strong instinct for production reliability.
Experience owning models in production environments where failures have real financial or compliance consequences.
Strong proficiency across modern AI, classical ML, statistical, and probabilistic methods; experience translating well-defined business objectives into modeling approaches and evaluating them rigorously.
What We Offer:
Exceptional health, vision, and dental care
Opportunity for equity ownership
Life and AD&D, short- and long-term disability
Employee Assistance Program
Employee Resource Groups
Fun company outings and events
Unlimited PTO
401K with company match
High-performing cultures aren't built in silos, they thrive on partnership. At DailyPay, we Commit Together to an inclusive, professional environment where multifaceted perspectives are our greatest competitive advantage. We recognize that our team members don’t live “single-issue lives,” and we lean into the wide-ranging backgrounds and life stages that sharpen our collective decision-making.
In our high-trust environment, we empower you to Challenge Norms. We’ve created a space where it is safe to ask difficult questions, disrupt the status quo, and share bold perspectives without fear of professional fallout. We believe that by checking our own assumptions and staying curious about the experiences of others, we arrive at better, more innovative results.
We provide the space for you to do your best work through peer advocacy and transparent career development. If you are looking for a culture that values intellectual honesty, celebrates the unique lived experiences of its people, and thrives on collective success, you’ll find it here.
If you require reasonable accommodation for any aspect of the recruitment process, please send a request to peopleops@dailypay.com. All requests for accommodation will be addressed as confidentially as practicable.
DailyPay is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion or creed, alienage or citizenship status, political affiliation, marital or partnership status, age, national origin, ancestry, physical or mental disability, medical condition, veteran status, gender, gender identity, pregnancy, childbirth (or related medical conditions), sex, sexual orientation, sexual and other reproductive health decisions, genetic disorder, genetic predisposition, carrier status, military status, familial status, or domestic violence victim status and any other basis protected under federal, state, or local laws.
Compensation Range: $179K - $250K
See All 8 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
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 Optum, Target, and Loram, per current listings on Migrate Mate as of September 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?
Minneapolis, Eden Prairie, and Brooklyn Park 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 80% of ai ml intern openings tied to Minnesota are remote or hybrid as of September 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 8 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 Jobs