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Internship Machine Learning Jobs in Paynesville, MN

Apprentice - All Trades

Avon, MN · On-site

$20 - $32/hr

Ideal for those who take pride in operating machinery safely and precisely. * Cable Installer (CI ... Interest in hands-on work and learning new skills * Comfort working outdoors in a team-oriented ...

Internship Machine Learning information

See Paynesville, MN salary details

$25.7K

$42.9K

$88.6K

How much do internship machine learning jobs pay per year?

As of Aug 26, 2026, the average yearly pay for internship machine learning in Paynesville, MN is $42,872.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,700.00 and $46,300.00 per year, depending on experience, location, and employer.

What is an internship machine learning?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

What types of projects can I expect to work on during a machine learning internship?

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.

What are the key skills and qualifications needed to thrive as an internship machine learning?

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

What is the difference between Internship Machine Learning vs Data Science Intern?

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

What cities near Paynesville, MN are hiring for Internship Machine Learning jobs?

Cities near Paynesville, MN with the most Internship Machine Learning job openings:

Apprentice - All Trades

Blattner Energy, Inc.

Avon, MN • On-site

$20 - $32/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago


Job description

LOOKING TO SUPERCHARGE YOUR CAREER?
Launch a paid, hands-on career building the future- no prior experience required. Our apprenticeship programs pair on-the-job training (OJT) with Related Technical Instruction (RTI) so you earn competitive wages from day one while building real skills. You will receive no-cost training materials and coursework (no student debt) and work toward nationally recognized certifications from the U.S. Department of Labor and Northwest Lineman College. The skills you gain transfer across wind, solar, and battery storage projects nationwide.
APPRENTICESHIPS OFFERED
We are hiring apprentices across four occupations. Each is a structured, safety-driven program built to move you from entry level to skilled tradesperson:
  • Construction Craft Laborer (CCL) - Our most versatile craft. Supports civil, structural, and mechanical work across the full project lifecycle - excavation, compaction, fencing, rebar and bolt assembly, concrete prep, and mechanical support - and may operate light equipment such as skid steers, loaders, telehandlers, and forklifts. Great for people who like variety and hands-on work.
  • Heavy Equipment Operator (HEO) - Trains on dozers, motor graders, and excavators (and may run loaders, telehandlers, and skid steers) for excavation, backfill, grading, and finish work. 6,000+ hours of structured OJT across equipment types. Ideal for those who take pride in operating machinery safely and precisely.
  • Cable Installer (CI) - A highly technical trade installing, splicing, terminating, and testing medium- and high-voltage cable systems. Training covers conductor handling, splicing and termination, underground line design, testing, and commissioning across 6,000 hours of OJT. A fit for detail-oriented candidates with a strong safety mindset.
  • Wind Turbine Installer (WTI) - Assembles turbine towers, nacelles, hubs, and blades through rigging, signaling, torque and tensioning, and mechanical completion. 6,000+ hours of OJT. Climbing at height is a core, recurring part of the role. A fit for those comfortable working at heights on a coordinated team.

TOOLS FOR THE JOB
  • Willingness to commit to a multi-year, structured training program
  • The ability to read and comprehend simple instructions and memos
  • Ability to pass a pre-employment background, drug, and alcohol screening
  • Able to lift and carry 40+ pounds
  • Composite or steel toe work boots
  • Willingness to travel and relocate to the job site (100% travel)
  • Must be able to work consistently outside, frequently in inclement weather, and perform physically demanding tasks

WHAT MAKES YOU STANDOUT
  • Interest in hands-on work and learning new skills
  • Comfort working outdoors in a team-oriented environment, often on remote sites
  • Commitment to safety, communication, and continuous growth
  • Previous experience in construction, the trades, or outdoor labor (helpful but not required)

HOW WE INVEST IN YOU
**All full-time, non-union employees are eligible for the following benefits (including full-time interns; part-time interns are excluded)
  • Competitive wages from day one, with progressive increases as your skills and responsibilities grow
  • No-cost training materials, binders, and coursework - no student debt
  • Nationally recognized certifications (U.S. Department of Labor and Northwest Lineman College)
  • Clear advancement pathways into leadership, specialized roles, and journeyworker positions
  • 100% employer-paid HDHP insurance premiums for employee
  • 401(k) with company match
  • Dental and Vision insurance
  • Education assistance (tuition reimbursement)
  • Employee/family focused culture
  • And more!

Application does not guarantee acceptance into or completion of this program.
Pay Range: $20-32 per hour; per diem based on eligibility
Individual compensation to be determined based on the applicant's applicable experience and qualifications balanced against internal equity and by specific location in alignment with applicable pay laws and regulations. Compensation is just one factor of our overall benefits package.
WHO ARE WE?
With more than 115 years of construction experience, Blattner has played a vital role in building America's critical infrastructure, ranging from railroads and highways to dams and mines. Since 1997, the company has focused on renewable energy solutions and is responsible for some of the most significant solar, wind and storage projects in the U.S. Today, Blattner has installed over 20% of America's utility-scale wind, solar and energy storage capacity. Blattner Company is the parent company of Blattner Energy and D.H. Blattner & Sons, of which all are members of the Quanta Services family of companies. Company headquarters are in Avon, Minnesota.
Blattner is an Equal Employment Opportunity Employer committed to diversity and inclusion in the workplace. Blattner will not tolerate discrimination against any applicant for employment or employee on the basis of age (40 and over), ancestry, color, religious creed, gender, gender expression, gender identity, genetic information, marital status, medical condition, mental disability, military or veteran status, national origin, physical disability, race, receipt of public assistance, sex, sexual orientation, or any other status protected by federal, state, or local laws. This commitment governs all aspects of employment including, but not limited to: hiring, promotion, demotion, transfer, layoff, termination, compensation, discipline, and access to benefits and training. Additionally, Blattner is committed, in accordance with applicable law, to making reasonable accommodations for job applicants and employees based on a qualifying disability, a sincerely held religious belief or practice, and for pregnancy, childbirth or related health conditions. Applicants and employees who feel they have experienced or witnessed discrimination or who wishes to request a reasonable accommodation should contact the Human Resources Department. Blattner prohibits retaliation against any individual for making a complaint under this policy, for opposing discrimination, for participating in an investigation pursuant to this policy, or for requesting a reasonable accommodation.