Senior ML Engineer Jobs in Minnesota
Senior ML Engineer jobs in Minnesota concentrate in financial technology, healthcare AI, retail analytics, and enterprise software, with the Twin Cities metro anchoring the majority of openings and Rochester and Duluth adding specialized demand. Companies like UnitedHealth Group, Target, and Medtronic maintain deep ML engineering teams in the state and hire consistently at the senior level. The most in-demand specialties include large language model deployment, production MLOps, and healthcare predictive modeling. Find a role that fits below and apply directly.
Find Senior ML Engineer JobsOverview
Showing 5 of 13+ Senior 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 13 Senior ML Engineer Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find Senior ML Engineer JobsSenior ML Engineer Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
Senior 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 senior ML engineer jobs across Minnesota.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Five or more years of hands-on ML engineering experience including production model deployment
- Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing and maintaining MLOps pipelines, model monitoring, and CI/CD workflows
- Demonstrated ability to lead cross-functional projects and mentor junior ML engineers
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for scalable ML infrastructure
Senior ML Engineer Jobs in Minnesota: Frequently Asked Questions
How do you become a senior ml engineer in Minnesota?
Senior ml engineer roles in Minnesota do not require a state-issued license. The typical path starts with a bachelor's degree in computer science, mathematics, or statistics, followed by graduate study or several years of applied ML work. Minnesota employers in healthcare and finance place strong weight on production experience, so building a portfolio of deployed models and contributing to open-source projects accelerates the transition from mid-level to senior roles.
How much do senior ML engineers make in Minnesota?
Senior ML engineers in Minnesota earn a median of about $91,750 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,260 for the lowest 10% to over $165,210 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ml engineers in Minnesota?
Employers hiring senior ml engineers in Minnesota right now include Target, Optum, and Loram, based on current listings on Migrate Mate as of September 2026. Minnesota's concentration of Fortune 500 headquarters in healthcare, retail, and financial services means senior ml engineer demand stays consistent across economic cycles.
Which Minnesota cities have the most senior ml engineer jobs?
Minneapolis, Brooklyn Park, and Eden Prairie have the most senior ml engineer openings in Minnesota. The Twin Cities metro drives the majority of demand, anchored by corporate headquarters for companies in healthcare technology, retail analytics, and financial services, while Rochester's presence of major medical institutions and Duluth's growing technology sector account for openings outside the core metro.
Are there remote senior ml engineer jobs in Minnesota?
Yes, and more than most fields. About 71% of senior ml engineer openings tied to Minnesota are remote or hybrid as of September 2026, reflecting how thoroughly the role is built around code, data pipelines, and cloud infrastructure. Model research, experimentation, and MLOps work are the functions most commonly offered fully remote, while roles involving embedded systems or on-premise data are more likely to require on-site presence.
How can I get hired as a senior ml engineer in Minnesota with little or no experience?
The most realistic entry path is a mid-level ML engineer or data scientist role at a Minnesota employer, then building toward senior over two to three years. Target, UnitedHealth Group, and Medtronic run structured new-graduate and rotational programs that place candidates in applied ML teams. Adjacent roles like data engineer, software engineer with a modeling focus, or ML platform engineer are common lateral moves that provide the production experience Minnesota employers look for before promoting to the senior level.
Where can I find and apply to senior ml engineer jobs in Minnesota?
You can find and apply to senior ml engineer jobs in Minnesota on Migrate Mate, which lists current openings across the state. Search the listings for roles that match your experience level, location preference, and area of specialization, then apply directly to the ones that fit.
See All 13 Senior ML Engineer Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find Senior ML Engineer Jobs