ZipRecruiter

Log In

1

Director Machine Learning Jobs in Maplewood, MN (NOW HIRING)

Vizient

Director of Engineering

Minneapolis, MN · On-site

Lead the delivery of secure, scalable, cloud-native applications that leverage advanced analytics, machine learning, generative AI, and intelligent automation. Champion Responsible AI principles and ...

Refinitiv

Lead Research Engineer

Eagan, MN · On-site

$127 - $237/hr

As a member of Thomson Reuters Labs, you will have a direct impact on our company and develop ... Experience integrating Machine Learning solutions into production-grade software with a sound ...

Thomson Reuters

Lead Research Engineer

Eagan, MN · On-site

$104K - $137K/yr

As a member of Thomson Reuters Labs, you will have a direct impact on our company and develop ... Experience integrating Machine Learning solutions into production-grade software with a sound ...

THOMSON REUTERS

Lead Research Engineer

Eagan, MN · On-site +1

$104K - $137K/yr

As a member of Thomson Reuters Labs, you will have a direct impact on our company and develop ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

next page

Showing results 1-20

All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Maplewood, MN

Director Machine Learning information

See Maplewood, MN salary details

$36.9K

$94.1K

$144.3K

How much do director machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for director machine learning in Maplewood, MN is $94,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $108,500.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Maplewood, MN?

The most popular types of Machine Learning jobs in Maplewood, MN are:

What cities near Maplewood, MN are hiring for Director Machine Learning jobs?

Cities near Maplewood, MN with the most Director Machine Learning job openings:

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Maplewood, MN as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $94,113 per year, or $45.2 per hour.

Director of AI-ML and Algorithm Development

Abbott

Saint Paul, MN

Full-time

Medical, Life, Retirement

Posted 5 days ago

Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

174th of 544 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

What Abbott employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply