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Artificial Intelligence Machine Learning Engineer Jobs in Minneapolis, MN

Bespoke Labs

Machine Learning Engineer

Plymouth, MN

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Minneapolis, MN · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Minneapolis, MN · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Plymouth, MN · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

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Showing results 21-40

All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Minneapolis, MN

Artificial Intelligence Machine Learning Engineer information

See Minneapolis, MN salary details

$32.9K

$134.4K

$202K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for artificial intelligence machine learning engineer in Minneapolis, MN is $134,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $161,800.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Minneapolis, MN?

For Artificial Intelligence Machine Learning Engineer jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Minneapolis, MN look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Minneapolis, MN with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Minneapolis, MN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $134,423 per year, or $64.6 per hour.

Director of AI-ML and Algorithm Development

Abbott

Saint Paul, MN • On-site

Full-time

Medical, Life, Retirement

Posted 15 days ago

Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

169th of 545 rated manufacturers

Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:

WORKING AT ABBOTT:

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You'll also have access to:

  • Career development with an international company where you can grow the career you dream of
  • Free medical coverage for employees* via the Health Investment Plan (HIP) PPO
  • An excellent retirement savings plan with high employer contribution
  • Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor's degree
  • A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune
  • A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists

WHAT YOU'LL WORK ON:

  • Responsible for directing and coordinating all AI/ML and algorithm development activities necessary to deliver AI-enabled products and platform technologies.
  • Define and execute the AI/ML technology strategy aligned with divisional and corporateobjectives.
  • Lead teams developing machine learning, deep learning, signal processing, computer vision, predictive analytics, foundation model, generativeAIand decision-support algorithms.
  • Lead R&D projects from requirements, specifications, system architecture, risk management, verification, validation, regulatoryapprovaland commercialization.
  • Establish best practices for model development, data governance, explainability, bias mitigation,MLOps,cybersecurityand lifecycle management.
  • Partner with systems, software, clinical, quality, regulatory and business leaders to integrate AI and other algorithm capabilities into products.
  • Proactively translate strategic organizational needs into AI programs that de-risk development and create competitiveadvantage.
  • Build and lead an innovation engine that combines rapid prototyping, physician co-creation, and AI/ML research to accelerate the identification, maturation, and validation of breakthrough technologies for electrophysiology applications.
  • Foster a culture of rapid experimentation, learning, and customer engagement by partnering directly with physicians and clinical experts to evaluate concepts, de-risk technology investments, and guide product development decisions.
  • Advance engineeringexpertiseacross functions and provide expert technical reviews to senior management.
  • Mentor technical leaders and build a culture of accountability, innovation,integrityand high performance.
  • Represent Abbott externally through publications, conferences,standardsorganizationsand strategic partnerships.

QUALIFICATIONS:

  • Bachelor's or M.S. degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Biomedical Engineering, Applied Mathematics,Statisticsor relatedfield.
  • 10-15 years of technical leadership experience with at least 5 years in a senior management role.
  • Demonstrated success building and leading high-performance algorithm development organizations in regulated industries.
  • Recognizedexpertisein AI/ML algorithm development and deployment of commercial products.
  • Extensive knowledge of product development processes fromconceptsthrough launch and lifecycle management.
  • Experience with Software as a Medical Device (SaMD), AI/ML-enabled medical devices, or adjacent regulated technologies preferred.
  • Proven ability to work across cross-functional teams and provide technical leadership.
  • Excellent verbal, written,presentationand executive communication skills.
  • Ability to travel domestically and internationally.

Preferred Qualifications and Education:

  • Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, Biomed Engineering, Mathematics,Statisticsor related discipline.
  • Experience with FDA, EUMDRand emerging AI/ML regulatory frameworks.
  • Experience developing foundation models, generative AIsolutionsand advanced analytics platforms.
  • Strong publication, patent, conference presentation, or industry leadership record.
  • Healthcare, electrophysiology, diagnostics, cardiovascular or digital health experience.

APPLY NOW:

Participants who complete a short wellness assessment qualify for FREE coverage in our HIP PPO medical plan. Free coverage applies in the next calendar year.

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal

The base pay for this position is

$149,300.00 - $298,700.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:Product DevelopmentDIVISION:EP ElectrophysiologyLOCATION:United States > Minnesota > St. Paul > Tech Center : One St Jude Medical DriveADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:Yes, 15 % of the TimeMEDICAL SURVEILLANCE:Not ApplicableSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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