AI ML Engineer Jobs in Minnesota
AI ML Engineer jobs in Minnesota are concentrated in the Twin Cities metro of Minneapolis and Saint Paul, with additional hiring activity in Rochester and Duluth, where employers like UnitedHealth Group, 3M, and Mayo Clinic maintain significant technology and data science operations. Demand is strongest in healthcare AI, predictive analytics, and natural language processing, reflecting the state's deep roots in health-tech and enterprise software. Roles range from junior data scientist positions through senior machine learning architect roles, making Minnesota one of the more active markets in the Upper Midwest for this discipline. Find a role that fits below and apply directly.
Find AI ML Engineer JobsOverview
Showing 5 of 8+ AI ML Engineer 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 Engineer Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find AI ML Engineer JobsAI ML Engineer Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
AI ML Engineer 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 engineer jobs across Minnesota.
- Bachelor's or master's degree in computer science, data science, or a related quantitative field
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience building, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud for ML workloads
- Strong background in data preprocessing, feature engineering, and statistical modeling techniques
- Ability to communicate model outputs and technical findings to non-technical business stakeholders
AI ML Engineer Jobs in Minnesota: Frequently Asked Questions
How do you become a ai ml engineer in Minnesota?
There is no state-issued license required to work as an ai ml engineer in Minnesota. The standard hiring path begins with a bachelor's degree in computer science, mathematics, or statistics, though many Minnesota employers, particularly in health tech and financial services, prefer or require a master's degree. Building a portfolio of deployed models and contributing to open-source projects strengthens applications significantly before or alongside formal education.
Which companies hire ai ml engineers in Minnesota?
Companies currently hiring ai ml engineers in Minnesota include Optum, Target, and Loram, per current listings on Migrate Mate as of September 2026. Minnesota's concentration of health-tech and enterprise software companies, anchored by organizations like UnitedHealth Group and 3M, creates steady demand for machine learning talent across both product and research-focused roles.
Which Minnesota cities have the most ai ml engineer jobs?
Minneapolis, Eden Prairie, and Brooklyn Park are the Minnesota cities with the most ai ml engineer openings. The Minneapolis-Saint Paul metro accounts for the large majority of postings, driven by its dense cluster of Fortune 500 headquarters, health-tech firms, and financial services companies, while Rochester's presence reflects the Mayo Clinic's growing investment in clinical AI and data science.
Are there remote ai ml engineer jobs in Minnesota?
Yes, and more than most fields. About 80% of ai ml engineer openings tied to Minnesota are remote or hybrid as of September 2026, which is consistent with the role's desk-based and analytical nature. Model development, experimentation, and data pipeline work are the parts of the job most commonly performed fully remotely, while roles tied to on-site infrastructure or embedded clinical teams tend to require at least some in-person presence.
How can I get hired as a ai ml engineer in Minnesota with little or no experience?
The most realistic entry path is through an internship or associate data scientist role at one of Minnesota's large health-tech or enterprise technology employers, where structured new-graduate programs often exist alongside formal mentorship. UnitedHealth Group and 3M both run early-career technology programs that include data and AI tracks. Adjacent roles such as data analyst or business intelligence developer at Minnesota-based financial services or retail companies also serve as common lateral entry points, and a portfolio of personal or academic projects demonstrating model deployment gives candidates a concrete edge.
Where can I find and apply to ai ml engineer jobs in Minnesota?
You can find and apply to ai ml engineer jobs in Minnesota on Migrate Mate, which lists current Minnesota openings updated regularly. Search the listings for roles that match your experience level and preferred location, then apply directly to the ones that fit.
See All 8 AI ML Engineer Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find AI ML Engineer Jobs