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Applied Machine Learning Jobs in Minnesota (NOW HIRING)

THOMSON REUTERS

Senior Applied Scientist

Eagan, MN · Hybrid

$93K - $127K/yr

About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...

Thomson Reuters

Senior Applied Scientist

Eagan, MN · On-site

$93K - $127K/yr

About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...

Thomson Reuters

Lead Applied Scientist

Eagan, MN · On-site

About the Role As a Lead Applied Scientist, you will define research strategy and lead high-impact ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...

THOMSON REUTERS

Lead Applied Scientist

Eagan, MN · Hybrid

About the Role As a Lead Applied Scientist, you will define research strategy and lead high-impact ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

... 7 years applied data science or machine learning experience, applied in commercial or operational environments • Experience creating predictive models for non-data-scientists to make real ...

Tactile Medical

Data Scientist

Minneapolis, MN

Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations 4-7 years applied data science or machine learning ...

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All JobsApplied Machine Learning JobsApplied Machine Learning Jobs in Minnesota

Applied Machine Learning information

See Minnesota salary details

$25K

$41.7K

$86.2K

How much do applied machine learning jobs pay per year?

As of Jun 20, 2026, the average yearly pay for applied machine learning in Minnesota is $41,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,800.00 and $45,100.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Applied Machine Learning professionals, data scientists, and AI system engineers are likely to continue thriving as AI advances, due to their expertise in developing, managing, and interpreting complex models. These roles require specialized skills in programming, statistical analysis, and domain knowledge, making them less susceptible to automation. Continuous learning and staying updated with new tools like TensorFlow or PyTorch are essential for long-term job security in this field.

What are the typical collaboration dynamics between Applied Machine Learning engineers and other teams within a company?

Applied Machine Learning engineers often work closely with cross-functional teams including data scientists, software engineers, product managers, and business analysts. They are typically responsible for translating business problems into machine learning solutions and ensuring models are effectively integrated into production systems. This role requires frequent communication to align on project goals, share progress, and address technical challenges, making teamwork and stakeholder management crucial for successful deployments and continuous improvement.

What is applied machine learning?

Applied machine learning involves using machine learning techniques and algorithms to solve real-world problems in various industries, such as healthcare, finance, and technology. Practitioners focus on selecting appropriate models, preparing data, training algorithms, and deploying solutions that deliver tangible value. Unlike theoretical machine learning, applied machine learning emphasizes practical implementation, evaluation, and optimization to meet business or research objectives.

Is applied AI a good career?

Applied machine learning is a growing field with high demand for professionals skilled in algorithms, programming, and data analysis. It offers opportunities in various industries such as technology, healthcare, and finance, often requiring knowledge of tools like Python, TensorFlow, and cloud platforms. The career can be rewarding with continuous learning and development of specialized skills.

What are the key skills and qualifications needed to thrive as an Applied Machine Learning professional, and why are they important?

To excel in Applied Machine Learning, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a relevant degree or certification. Familiarity with programming languages like Python or R, frameworks such as TensorFlow or PyTorch, and version control systems is typically required. Strong problem-solving abilities, communication skills, and a collaborative mindset help you interpret results and convey insights to diverse stakeholders. These competencies are crucial for building effective models, driving data-driven decisions, and ensuring the successful integration of machine learning solutions into real-world applications.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying scalable AI systems can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires strong programming skills, knowledge of cloud platforms, and a track record of impactful projects.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch. Such roles usually involve leadership responsibilities, strategic planning, and may require multiple years of industry experience and relevant certifications.
What are popular job titles related to Applied Machine Learning jobs in Minnesota? For Applied Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Applied Machine Learning jobs in Minnesota look for? The top searched job categories for Applied Machine Learning jobs in Minnesota are:
Applied Machine Learning jobs near you
Senior Applied Scientist

Senior Applied Scientist

THOMSON REUTERS

Eagan, MN • Hybrid

$93K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Thomson Reuters rating

8.9

Company rating: 8.9 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

17th of 428 rated business services

Job description

Are you excited about working at the forefront of applied research in an industry setting? TR Labs is the AI Research & Development arm of Thomas Reuters. We are seeking scientists with a passion for solving problems using state-of-the-art artificial intelligence and machine learning.

What does Thomson Reuters Labs do? We experiment, we build, we deliver. Our core mission is to innovate industry-leading solutions for Legal, Tax & Accounting, Risk, and News Media professionals. We systematically explore and develop new technologies, particularly those in relevant areas of AI/ML, with an unwavering focus on customer problems and opportunities.


About the Role

As a Senior Applied Scientist, you will lead end-to-end applied research projects that drive product innovation in legal intelligence, tax automation, or regulatory compliance. You will translate business challenges into technical solutions, determine feasibility, and deliver scalable AI capabilities. This role includes mentoring scientists and influencing technical direction within your team, while starting to grow and scale your impact.

About You

You're a fit for the role of Senior Applied Scientist if your background includes:

  • PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning, or related field

  • 5+ years of hands-on experience building and deploying production IR, NLP, ML, or GenAI systems using modern techniques

  • Demonstrated experience leading end-to-end AI project delivery in collaborative, cross-functional environments

  • Outstanding technical judgment and evaluation expertise

  • Excellent communication skills with ability to influence technical direction

  • Experience developing novel methods for complex professional domains such as medical, tax, or law.

  • Expertise in RAG architectures, agentic frameworks, tool-using systems, or orchestration patterns.

  • Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD.

#LI-MW1

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.

What's in it For You?

  • Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) 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 $100,000 CAD - $145,000 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 atHR.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.

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More information about Thomson Reuters can be found on thomsonreuters.com

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