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Entry Level Machine Learning Jobs in Plymouth, MN

Aerotek

Kitting

Delano, MN · On-site

$18.50 - $20/hr

Entry Level! No Experience Needed! Job Title: Kitting Specialist The Kitting Specialist gathers ... Comfort working around heat-treating equipment and machinery. * Interest in learning new skills ...

TEAM, Inc.

Technician ECS LDAR Apprentice

Newport, MN · On-site

$17.25 - $22.50/hr

TEAM is seeking an entry level person interested in learning and assisting in Leak Detection ... Working in plant and/or shop areas around production machinery with extreme noise levels. * Must be ...

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Entry Level Machine Learning information

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How much do entry level machine learning jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry level machine learning in Plymouth, MN is $18.43, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $20.05 per hour, depending on experience, location, and employer.

What are entry level machine learning jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What types of projects can an entry level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.
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Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Plymouth, MN as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $38,341 per year, or $18.4 per hour.

Structural Transmission Engineer - Entry Level (Hybrid)

Barr

Minneapolis, MN • Hybrid

$68K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

The role - what you'll do

Barr is seeking a structural transmission engineer to join our Minneapolis team. In this role, you will support our power delivery group by contributing to the design and engineering of high-voltage transmission and distribution lines for electric utilities and renewable energy clients. You'll work with multidisciplinary project teams to develop design documents, specifications, and drawings for wood and steel pole structures, as well as perform foundation design and calculations.

The ideal candidate for this position is a proactive problem solver with strong technical skills, has a collaborative mindset, and is an eager learner. You thrive in a high-energy environment, are client-focused, and demonstrate initiative and adaptability in meeting project goals.

Your impact - key responsibilities

  • Transmission line design and engineering: use PLS-CADD software to design transmission lines ranging from 69kV to 345kV, helping ensure technical accuracy and compliance with industry standards.

  • Specification development: create detailed construction and material specifications for wood and steel pole structures, supporting safe and efficient field implementation.

  • Foundation design: perform drilled pier foundation design and embedment depth calculations, contributing to the structural integrity of transmission systems.

  • Drawing production and review: produce and review design drawings including plan and profile views, framing, and assembly details to support project execution.

  • Field assignments: participate in short-term, out-of-town field assignments as needed to support project delivery and client engagement.

  • Software and documentation: use Microsoft Office and other engineering tools to document work, communicate with teams, and manage project data effectively.

  • Team collaboration: work closely with engineers and project managers in a dynamic, multidisciplinary environment that values initiative, teamwork, and continuous learning.

About the opportunity

  • Hybrid: a hybrid work arrangement may be considered for this position. A hybrid work arrangement refers to splitting time worked between a Barr office and a home office. This position is based out of Barr's Minneapolis, Minnesota, office.

  • Travel expectations: up to 15 percent domestic fieldwork, with an average of two to three days of continuous job site presence.

  • Work environment: ability to work in locations that may feature rough terrain typical of construction/manufacturing/rural outdoor sites with limited accessibility, moving machinery, and other conditions typical of industrial facilities. Candidates must be able to perform job duties with or without reasonable accommodation.

Physical requirements for the role may include:

  • Ability to conduct fieldwork in varying outdoor conditions (e.g., heat, cold, rain, uneven terrain).

  • Must be able to lift and carry equipment and materials weighing up to 50 pounds.

  • Capable of standing, walking, kneeling, or crouching for extended periods.

  • Use of personal protective equipment (PPE) as required by site conditions.

About you - required core competencies

  • Education: bachelor's degree in civil/structural or related discipline.

  • Licenses/certifications: Engineer-in-Training (EIT) certified or ability to obtain within one year.

  • Willingness and ability to travel.

  • Software: familiarity with AutoCAD, Excel, and Word. Willingness to learn new programs such as PLS-CADD software.

  • Driver's license: possession of a current, valid driver's license and acceptable driving record.

  • Must be legally authorized to work in the United States without the need for sponsorship by Barr, now or in the future.

Compensation: anticipated range of $68,000-$85,000 annually. Compensation will vary based on relevant experience, education, skill level, and other compensable factors. Employees in this position may also be eligible for a discretionary cash bonus based on team and individual performance. This position is classified as exempt (salaried) under the Fair Labor Standards Act.

#LI-Hybrid #Handshake

Benefits - what we offer

We are committed to providing an employee experience that attracts and retains top talent. That's why we offer a competitive package of employee benefits - including some unique offerings not found at other companies. At Barr, we also believe that learning doesn't stop when you get your degree, which is why we provide coaching, mentoring, and support for ongoing educational opportunities to foster professional development at every stage of your career.

  • Competitive, affordable insurance plans: Medical, dental, vision, life, disability, accidental death insurance, and flexible spending accounts for medical and dependent care

  • Retirement benefits: 401(k) retirement savings plan with company contribution and an Employee Stock Ownership Plan (ESOP) with company contribution in Barr stock

  • Profit distribution: Barr has a "no retained earnings" model and distributes all profit to our employees through our annual bonus distribution plan, ESOP, and dividends to shareholders

  • Professional development benefits: Annual time and expense allowances, mentorship program, and many internal training opportunities

  • Work/life balance: Paid time off, holidays, overtime for non-exempt/hourly staff, and compensatory time for exempt/salaried staff (time off or pay for extra time worked), paid family leave

  • Wellness focus: Ergonomic analysis and equipment, Personal Protective Equipment allowance, wellbeing-focused educational opportunities

Please note that benefits eligibility is determined and may change based on part-time, reduced-time, or full-time status.

About us - why choose Barr

At Barr, you'll join a community of engineers, scientists, and professionals who will help you achieve your ambitions and build a meaningful, rewarding career. You'll serve as a trusted advisor to clients who value Barr's tailored solutions and commitment to exceptional service.

As part of our employee-owned firm, you'll contribute to a culture of commitment and camaraderie where staff can thrive as professionals. We value diverse perspectives and experiences and believe an inclusive workplace is critical to our success.

To learn more about Barr's culture and values, visit: https://www.barr.com/Careers/Our-culture

Open positions at Barr Engineering Co. do not have application deadlines. Barr Engineering Co. is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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