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Junior Machine Learning Jobs in Minnesota (NOW HIRING)

Galois, Inc.

Principal Scientist

Minneapolis, MN

Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis ... You'll publish and present your findings, mentor junior staff, and help set the national and global ...

UnitedHealth Group

Senior Software Engineer

Minnetonka, MN · On-site

$91K - $163K/yr

Design, develop, and productionize machine learning and generative AI solutions supporting Digital ... Mentor junior engineers and contribute to AI/ML engineering standards, best practices, and reusable ...

UnitedHealth Group

Senior Software Engineer

Minnetonka, MN · On-site +1

$91K - $163K/yr

Design, develop, and productionize machine learning and generative AI solutions supporting Digital ... Mentor junior engineers and contribute to AI/ML engineering standards, best practices, and reusable ...

Deloitte

Senior Consultant - SAP EAM/PM

Minneapolis, MN

$65.75 - $89.75/hr

... and machine learning. Qualifications Required * Bachelor's degree or Associate's degree plus 6+ ... Contribute to practice growth through knowledge sharing, coaching junior practitioners, internal ...

Deloitte

Senior Consultant - SAP PP

Minneapolis, MN

... and machine learning. Qualifications Required * Bachelor's degree or Associate's degree plus 6+ ... Contribute to practice growth through knowledge sharing, coaching junior practitioners, internal ...

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Junior Machine Learning information

See Minnesota salary details

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How much do junior machine learning jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for junior machine learning in Minnesota is $26.40, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $32.50 per hour, depending on experience, location, and employer.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.
What are the most commonly searched types of Machine Learning jobs in Minnesota? The most popular types of Machine Learning jobs in Minnesota are:
What are popular job titles related to Junior Machine Learning jobs in Minnesota? For Junior Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning jobs in Minnesota look for? The top searched job categories for Junior Machine Learning jobs in Minnesota are:
What cities in Minnesota are hiring for Junior Machine Learning jobs? Cities in Minnesota with the most Junior Machine Learning job openings:
Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $54,914 per year, or $26.4 per hour.

Principal Scientist

Galois, Inc.

Minneapolis, MN

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Job description

About Galois

Who We Are: From building digital engineering tools that make space exploration safer to verifying cryptographic libraries that protect some of the world's most valuable data, Galois develops technology to guarantee the trustworthiness of systems where failure is unacceptable.

What We Do: We believe trustworthy systems are built on a formal mathematical foundation. Our researchers apply formal analysis techniques to the design and verification of critical software systems, allowing us to model, analyze, and mathematically prove that a system behaves exactly as intended under all circumstances. With clients including NASA, DARPA, AWS, and the DoW, we leverage our cutting-edge research to deliver high assurance solutions and tools that enhance security, reliability, and operational efficiency across sectors including aerospace & defense, healthcare, semiconductors, and fintech.

Life at Galois: People are the foundation of Galois's success. As an employee-owned company, we care not only about the technologies we develop, but also the path we take to create them. Galois operates under a highly collaborative organizational model that encourages leadership and teamwork and respects the individuals.

For more on our culture and organizational structure, visit Life at Galois.

About This Role

Principal Scientists drive a research agenda and develop R&D opportunities at the intersection of Formal Methods and one or more of our four Research Areas:

  • Rigorous Digital Engineering
  • Artificial Intelligence, Machine Learning, and Data Science
  • Software & Systems Analysis
  • Advanced Cryptography and Privacy

In this role, you will lead externally-funded research programs, engage directly with government and industry clients, and collaborate with multidisciplinary teams to translate your research into deployable solutions that solve real-world challenges. You'll publish and present your findings, mentor junior staff, and help set the national and global agenda for trustworthy systems.

What You'll Bring

  • Formal Methods Experience: Ph.D. (or equivalent) in Computer Science, Applied Mathematics, or a related field, with a track record of high-quality research (publications, patents, or open-source tools) in formal verification, theorem proving, static analysis, or related areas.
  • Domain Mastery: Demonstrated expertise in at least one of our four research areas with evidence of applied projects or publications.
  • Funding & Program Leadership: Proven success securing external research grants or contracts, and managing projects from proposal to delivery.
  • Client Engagement & Communication: Exceptional technical writing and presentation skills; experience translating research outcomes into clear, compelling solutions for government or industry partners.
  • Collaborative Mentorship: A passion for coaching and inspiring technical teams, fostering a culture of creativity, curiosity, innovation, and ownership.

Responsibilities

  • Program Development: Develop and lead an externally funded research program involving frequent client and government agency interactions.
  •  Technical Leadership: Define research roadmaps that integrate formal methods with your domain expertise.
  • Cross-Sector Collaboration: Build partnerships across Galois, academia, government, and industry to advance active research and development programs.
  • Thought Leadership: Publish and speak on your work, establishing a reputation for thought leadership in your domain of expertise.
  • Mentorship: Guide junior engineers and cultivate an inclusive environment where diverse ideas flourish.
Eligibility & Clearance
  • Must be willing to undergo a security investigation and will need to meet eligibility requirements for access to classified information (Active clearance strongly preferred)
  • Must not require a U.S. government export license to authorize access to export-controlled technology and software required to perform this role.
Location

We enjoy a hybrid work environment, and candidates may be based out of any of our offices in Arlington, VA, Dayton, OH, Minneapolis, MN, or Portland, OR. Additionally, being located in Boston, MA is also welcome. 

Benefits

We offer a robust benefits package to provide for your and your family's well-being, including:

  • Employee Stock Ownership Plan (ESOP)
  • 401(k) retirement plan with 5% employer match and immediate vesting
  • Fully paid medical insurance plans and dental and vision reimbursement plan
  • Health Savings Account (HSA) with generous employer contributions
  • Mental health and wellbeing support through our employee assistance program
  • 5 weeks of paid time off and 9 days of paid company holidays each year
  • 16 weeks of fully paid parental leave (available for new parents for birth, adoption, and fostering)
  • 1 week of fully paid "Blue Sky" innovation time each year to pursue your interests

For more information on our benefits, visit Careers at Galois.

Compensation

Compensation is based on the value of your results, not your value as an employee or person. The compensation process, individual salaries, and criteria for salary changes are transparent to the entire company.

For more information about our forward-looking and transparent approach to pay, visit Compensation.

Equal Employment Opportunity

Galois is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race, ethnicity, national origin, ancestry, color, sex, gender identity or expression, sexual orientation, marital or parental status, pregnancy or childbirth, disability, age, religion, creed, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. We encourage and respect different viewpoints and experiences as being essential to the process of innovation. We strive to acquire, grow, and maintain a diverse and inclusive workplace that applies principles and standards equitably while supporting the needs and accommodations of the individual employee.

Consistent with the Americans with Disabilities Act (ADA) and federal and state laws, it is the policy of Galois, Inc. to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. If you require reasonable accommodation in completing the employment application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact peopleoperations@galois.com

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