AI Research Engineer Jobs in Minnesota
AI Research Engineer jobs in Minnesota are concentrated in the Twin Cities metro, with additional activity in Rochester and Duluth, where employers across healthcare technology, financial services, and enterprise software are building out applied ML and NLP research teams. Companies like UnitedHealth Group, 3M, and Mayo Clinic have lasting research engineering presences in the state, hiring at levels from associate researcher to principal and staff engineer. The most in-demand specialties are large language model development, computer vision, and reinforcement learning for clinical and enterprise applications. Scan the live roles below and apply to whichever ones fit.
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Job Description
Thomson Reuters Labs is seeking a Lead Research Engineer to lead the design and delivery of production-ready software for artificial intelligence (AI) model evaluation and benchmarking. You will build scalable evaluation infrastructure that enables research and product teams to compare large language models (LLMs), measure quality, cost, and latency, and make informed decisions about model selection and development.
You will own the engineering approach from early prototypes through reliable, maintainable tools, collaborating closely with research scientists, engineering teams, and product partners while helping shape technical direction and engineering delivery.
Key Responsibilities
- Lead technical delivery and engineering planning: Partner with program and research leaders to define priorities, break projects into delivery stages, estimate effort and cost, recommend staffing and required skills, identify dependencies, and adapt plans to available resources.
- Design and build scalable evaluation infrastructure: Extend existing shared tools and services, design new components where needed, and develop production-quality Python software, APIs, and reusable evaluation frameworks. Deliver useful initial versions, validate them with users, and improve them through iterative development.
- Turn research methods into working software: Collaborate with scientists to build automated evaluation pipelines connecting model APIs, test datasets, and agreed scoring methods. Implement reliable workflows for comparing LLMs and other AI models using evaluation datasets relevant to products and customer needs.
- Ensure reliable, reproducible model comparisons: Maintain repeatable experiments, separate evaluation data from model development, and make results traceable to evaluation inputs and methods. Measure model quality, operating cost, and latency to support product teams in validating model performance.
- Build practical tools for researchers and product teams: Develop clear user interfaces, documentation, evaluation reports, and diagnostic capabilities. Enable scientists and product teams to run evaluations, understand failures, interpret results, and extend tools without depending on the original developer.
- Own production reliability, performance, and responsible data use: Integrate automated testing, deployment, and monitoring from the beginning. Address performance, scalability, and operating costs, establish service maintenance and support ownership, and work with data specialists to implement access controls, permitted-use rules, and retention requirements. Collaborate, mentor, and guide engineering decisions: Partner with foundational research, data engineering, platform engineering, and product teams to align interfaces, responsibilities, and delivery plans. Resolve technical dependencies, mentor engineers, communicate trade-offs and delivery risks, and recommend changes to scope or technical approach when necessary.
Required Qualifications
- 8-10+ years of relevant software engineering experience, including building and maintaining production systems involving machine learning or complex data.
- Strong hands-on Python programming skills, including API design, automated testing, and working with structured and unstructured data.
- Technical leadership and end-to-end delivery experience, including architecture decisions, engineering planning, staffing and effort estimation, project execution, and adapting priorities as requirements change.
- Experience collaborating with research scientists or machine learning practitioners to translate experiments and research methods into working software.
- Experience integrating or testing machine learning models, interpreting evaluation results, and applying findings to engineering decisions. Understanding of language models and the ability to recognize unreliable comparisons or test-data leakage.
- Cloud engineering experience using AWS, Azure, or a comparable platform, including distributed workflows, automated deployment, and monitoring.
- Working knowledge of SQL and experience developing software that processes structured and unstructured data.
- Strong collaboration, communication, problem-solving, and mentoring skills, with experience coordinating technical delivery across research, engineering, and product stakeholders. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Preferred Qualifications
- Experience building LLM evaluation and benchmarking pipelines, including automated scoring methods and human assessment workflows.
- Familiarity with experiment tracking, dataset versioning, and reproducible evaluation processes.
- Experience in natural language processing, information retrieval, or other applications involving complex text.
- Experience reducing model inference or operating costs while maintaining evaluation quality and system performance.
- A track record of developing reusable software libraries, frameworks, or tools adopted by other engineering teams. Research contributions or open-source software contributions.
#LI-TH1
What’s in it For You?
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
- Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
- Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
- Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.
In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan. Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.

Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $146,800 USD - $272,600 USD.
For any eligible US locations, unless otherwise noted, the base compensation range for this role is $127,400 USD - $236,600 USD.
For Ontario, Canada, the base compensation range for this role is $140,000 CAD - $175,000 CAD.

Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.
This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com . Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com
Job Description
Thomson Reuters Labs is seeking a Lead Research Engineer to lead the design and delivery of production-ready software for artificial intelligence (AI) model evaluation and benchmarking. You will build scalable evaluation infrastructure that enables research and product teams to compare large language models (LLMs), measure quality, cost, and latency, and make informed decisions about model selection and development.
You will own the engineering approach from early prototypes through reliable, maintainable tools, collaborating closely with research scientists, engineering teams, and product partners while helping shape technical direction and engineering delivery.
Key Responsibilities
- Lead technical delivery and engineering planning: Partner with program and research leaders to define priorities, break projects into delivery stages, estimate effort and cost, recommend staffing and required skills, identify dependencies, and adapt plans to available resources.
- Design and build scalable evaluation infrastructure: Extend existing shared tools and services, design new components where needed, and develop production-quality Python software, APIs, and reusable evaluation frameworks. Deliver useful initial versions, validate them with users, and improve them through iterative development.
- Turn research methods into working software: Collaborate with scientists to build automated evaluation pipelines connecting model APIs, test datasets, and agreed scoring methods. Implement reliable workflows for comparing LLMs and other AI models using evaluation datasets relevant to products and customer needs.
- Ensure reliable, reproducible model comparisons: Maintain repeatable experiments, separate evaluation data from model development, and make results traceable to evaluation inputs and methods. Measure model quality, operating cost, and latency to support product teams in validating model performance.
- Build practical tools for researchers and product teams: Develop clear user interfaces, documentation, evaluation reports, and diagnostic capabilities. Enable scientists and product teams to run evaluations, understand failures, interpret results, and extend tools without depending on the original developer.
- Own production reliability, performance, and responsible data use: Integrate automated testing, deployment, and monitoring from the beginning. Address performance, scalability, and operating costs, establish service maintenance and support ownership, and work with data specialists to implement access controls, permitted-use rules, and retention requirements. Collaborate, mentor, and guide engineering decisions: Partner with foundational research, data engineering, platform engineering, and product teams to align interfaces, responsibilities, and delivery plans. Resolve technical dependencies, mentor engineers, communicate trade-offs and delivery risks, and recommend changes to scope or technical approach when necessary.
Required Qualifications
- 8-10+ years of relevant software engineering experience, including building and maintaining production systems involving machine learning or complex data.
- Strong hands-on Python programming skills, including API design, automated testing, and working with structured and unstructured data.
- Technical leadership and end-to-end delivery experience, including architecture decisions, engineering planning, staffing and effort estimation, project execution, and adapting priorities as requirements change.
- Experience collaborating with research scientists or machine learning practitioners to translate experiments and research methods into working software.
- Experience integrating or testing machine learning models, interpreting evaluation results, and applying findings to engineering decisions. Understanding of language models and the ability to recognize unreliable comparisons or test-data leakage.
- Cloud engineering experience using AWS, Azure, or a comparable platform, including distributed workflows, automated deployment, and monitoring.
- Working knowledge of SQL and experience developing software that processes structured and unstructured data.
- Strong collaboration, communication, problem-solving, and mentoring skills, with experience coordinating technical delivery across research, engineering, and product stakeholders. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Preferred Qualifications
- Experience building LLM evaluation and benchmarking pipelines, including automated scoring methods and human assessment workflows.
- Familiarity with experiment tracking, dataset versioning, and reproducible evaluation processes.
- Experience in natural language processing, information retrieval, or other applications involving complex text.
- Experience reducing model inference or operating costs while maintaining evaluation quality and system performance.
- A track record of developing reusable software libraries, frameworks, or tools adopted by other engineering teams. Research contributions or open-source software contributions.
#LI-TH1
What’s in it For You?
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
- Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
- Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
- Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.
In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan. Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.

Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $146,800 USD - $272,600 USD.
For any eligible US locations, unless otherwise noted, the base compensation range for this role is $127,400 USD - $236,600 USD.
For Ontario, Canada, the base compensation range for this role is $140,000 CAD - $175,000 CAD.

Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.
This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com . Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com
See All 13 AI Research Engineer Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find AI Research Engineer JobsAI Research Engineer Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
AI Research 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 research engineer jobs across Minnesota.
- Master's or PhD in computer science, machine learning, or a related quantitative field
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing, training, and evaluating large-scale machine learning models
- Demonstrated ability to publish or apply research in NLP, computer vision, or reinforcement learning
- Familiarity with cloud-based ML infrastructure on AWS, Azure, or Google Cloud Platform
- Strong communication skills for presenting research findings to technical and non-technical stakeholders
AI Research Engineer Jobs in Minnesota: Frequently Asked Questions
How do you become a ai research engineer in Minnesota?
Becoming an ai research engineer in Minnesota typically requires a graduate degree in computer science, machine learning, statistics, or a related field, though some employers accept strong bachelor's candidates with a compelling research portfolio. There is no state-issued license for this role in Minnesota. Employers here place significant weight on published research, open-source contributions, or applied project work demonstrating model development from problem framing through deployment.
How much do AI research engineers make in Minnesota?
AI research engineers in Minnesota earn a median of about $135,850 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $83,920 for the lowest 10% to over $174,740 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai research engineers in Minnesota?
Minnesota ai research engineer roles are posted by Mayo Clinic, Kitware, and Edmentum and others right now, based on current listings on Migrate Mate as of November 2026. Minnesota's concentration of large healthcare, financial services, and industrial technology employers means a significant share of openings involve applied research in regulated or high-stakes domains.
Which Minnesota cities have the most ai research engineer jobs?
Minneapolis, Rochester, and Saint Paul lead Minnesota in ai research engineer openings. The Minneapolis-Saint Paul metro drives the largest share because it anchors the state's enterprise technology, healthcare, and financial services sectors, while Rochester's concentration of medical research institutions and Duluth's growing technology community contribute additional demand outside the Twin Cities core.
Are there remote ai research engineer jobs in Minnesota?
Yes, and more than most fields. About 100% of ai research engineer openings tied to Minnesota are remote or hybrid as of November 2026, reflecting the nature of research and modeling work that requires a laptop and cloud access rather than physical presence. Roles focused on data pipeline development, model evaluation, and literature synthesis tend to be the most remote-eligible.
How can I get hired as a ai research engineer in Minnesota with little or no experience?
The most realistic entry path is securing a research internship or graduate research assistantship through a University of Minnesota or Mayo Clinic program, then converting that into a full-time associate or junior research engineer role. Large Minnesota employers like UnitedHealth Group and 3M run structured new-grad hiring programs for candidates coming out of graduate research. Building a public portfolio of model experiments on GitHub and contributing to open-source ML projects strengthens a candidacy significantly when formal experience is limited.
Where can I find and apply to ai research engineer jobs in Minnesota?
You can find and apply to ai research engineer jobs in Minnesota on Migrate Mate, which lists current openings in the state. Search the available roles, identify the ones that match your background and interests, and apply directly through each listing.
See All 13 AI Research Engineer Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find AI Research Engineer Jobs