Machine Learning Jobs in Minnesota
Machine Learning jobs in Minnesota are concentrated in the Twin Cities metro, with additional hiring in Rochester and Duluth, driven by demand for natural language processing, computer vision, and predictive modeling specialists. Major employers with deep Minnesota roots, including UnitedHealth Group, 3M, and Mayo Clinic, recruit machine learning engineers and researchers across seniority levels from early-career to staff. Minnesota's healthcare technology and financial services sectors are among the most active markets in the upper Midwest for this role. See the openings below and apply to the ones that match your experience.
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Showing 5 of 12+ Machine Learning jobs
Pay 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 12 Machine Learning Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find Machine Learning JobsMachine Learning Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
Machine Learning Job Market in Minnesota
A snapshot from current Minnesota openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Retail
- Consulting & Professional Services
What Minnesota Employers Look For
The qualifications that appear most often in machine learning jobs across Minnesota.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience designing and deploying models in cloud environments such as AWS or Azure
- Strong background in data pipeline construction, feature engineering, and model evaluation
- Ability to communicate model outputs and tradeoffs clearly to non-technical stakeholders
- Familiarity with healthcare or financial services data and relevant regulatory requirements
Machine Learning Jobs in Minnesota: Frequently Asked Questions
How do you become a machine learning engineer in Minnesota?
Machine learning is not a state-licensed profession in Minnesota, so there is no required state board or exam. Most employers in the Twin Cities and Rochester expect a bachelor's degree at minimum, with a master's degree preferred for research-focused roles. Building a portfolio of applied projects, contributing to open-source work, and earning recognized certifications from cloud providers strengthens candidacy considerably in Minnesota's competitive market.
Which companies hire machine learning engineers in Minnesota?
Companies currently hiring machine learnings in Minnesota include Target, Optum, and Wipro, per current listings on Migrate Mate as of November 2026. Minnesota's concentration of large healthcare technology firms and insurance companies means many openings focus on clinical data modeling and risk analytics specifically.
Which Minnesota cities have the most machine learning jobs?
Minneapolis, Brooklyn Park, and Onamia lead Minnesota for machine learning openings. The Twin Cities metro dominates because of its dense cluster of Fortune 500 headquarters in healthcare and financial services, while Rochester draws roles tied directly to Mayo Clinic's research and clinical AI programs, and Duluth captures openings from regional healthcare networks and technology contractors.
Are there remote machine learning jobs in Minnesota?
Yes, and more than most fields. About 100% of machine learning openings tied to Minnesota are remote or hybrid as of November 2026, reflecting the analytical and software-driven nature of the work. Roles focused on model development, experimentation, and research tend to be the most remote-friendly, while positions requiring close collaboration with clinical or on-site data collection teams are more likely to require in-person presence.
How can I get hired as a machine learning engineer in Minnesota with little or no experience?
The most realistic entry path is through a data analyst or software engineering role at a Minnesota employer that has an internal machine learning team, then transitioning once you have relevant project exposure. Large Twin Cities employers in healthcare technology and insurance regularly hire associate data scientists and junior analysts who can move toward machine learning work. Completing a graduate certificate in machine learning, building a public project portfolio, and targeting rotational or research associate programs at institutions like Mayo Clinic or the University of Minnesota Medical School strengthens early-career applications significantly.
Where can I find and apply to machine learning jobs in Minnesota?
You can find and apply to machine learning jobs in Minnesota on Migrate Mate, which lists current openings from employers hiring in the state. Search the listings to find roles that fit your background and apply directly to the ones that match your experience and target location.
See All 12 Machine Learning Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
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