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Internship Graduate Machine Learning Jobs in Iowa

Statistics Graduate Level Tutor

Ames, IA ยท Remote

$18 - $40/hr

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... graduate statistics curricula and common challenges such as understanding measure-theoretic ...

Today MSI serves customers in the computer, business machine, medical diagnostics, material ... The internship will provide hands-on learning experiences for students at the company facilities as ...

Today MSI serves customers in the computer, business machine, medical diagnostics, material ... The internship will provide hands-on learning experiences for students at the company facilities as ...

Today MSI serves customers in the computer, business machine, medical diagnostics, material ... The internship will provide hands-on learning experiences for students at the company facilities as ...

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Internship Graduate Machine Learning information

What is an internship graduate machine learning?

Internship Graduate Machine Learning positions are entry-level roles designed for recent graduates or students who have completed coursework in machine learning, data science, or related fields. These internships provide hands-on experience working with real-world data, building and testing machine learning models, and collaborating with experienced professionals. Interns gain exposure to industry-standard tools and techniques, helping them bridge the gap between academic learning and practical application. Such positions are valuable for building a portfolio, networking, and enhancing job prospects in the rapidly growing field of artificial intelligence.

What types of projects do internship graduate machine learning roles typically involve, and how are responsibilities structured within the team?

Internship Graduate Machine Learning roles often focus on supporting ongoing research or development projects, such as building predictive models, cleaning and analyzing data, or prototyping algorithms. Interns usually collaborate closely with data scientists and engineers, contributing to specific project milestones while learning best practices in model development and deployment. Responsibilities are often structured to allow for mentorship and feedback, with interns participating in regular team meetings, code reviews, and brainstorming sessions. This collaborative environment provides valuable exposure to real-world machine learning workflows and helps interns build both technical and soft skills relevant to the field.

What are the key skills and qualifications needed to thrive as an internship graduate machine learning, and why are they important?

To thrive as an Internship Graduate in Machine Learning, you typically need a strong background in mathematics, programming (especially Python), and familiarity with algorithms and data structures, often supported by coursework or a degree in computer science, statistics, or a related field. Hands-on experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of tools such as Jupyter Notebooks and version control systems like Git, are highly valued. Curiosity, problem-solving, teamwork, and effective communication are crucial soft skills to excel in collaborative and innovative environments. These competencies enable interns to contribute to real-world projects, adapt to fast-changing technologies, and communicate findings clearly within interdisciplinary teams.

What is the difference between Internship Graduate Machine Learning vs Data Analyst?

AspectInternship Graduate Machine LearningData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; basic knowledge of programming and statisticsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, research labs, startups; project-based, collaborative teamsBusiness, finance, marketing sectors; focus on reporting and data interpretation
Employer & Industry UsageUsed in tech, AI, and research industries for developing machine learning modelsCommon in corporate, finance, and consulting firms for data-driven decision making

While both roles involve working with data, an Internship Graduate Machine Learning focuses on developing algorithms and models using programming skills, often in tech environments. In contrast, a Data Analyst emphasizes interpreting data, creating reports, and supporting business decisions. The roles overlap in data handling but differ in technical depth and application focus.

Infographic showing various Internship Graduate Machine Learning job openings in Iowa as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Artificial Intelligence and Machine Learning Intern

MERRILL MFG CO CORP

Storm Lake, IA โ€ข On-site

Internship

Posted yesterday

New


Job description

Description:

ABOUT US

Merrill Manufacturing is North America’s leading manufacturer of parts and accessories to the water well and water system industries. We are a family-owned company known for our incredible service, quality products, and diverse selection. Our values guide everything we do. Our team at Merrill strives to do the right thing, shares our passion for all we do, has a can-do, will-do attitude, thinks of we before me, and is willing to solve problems together.

JOB SUMMARY

The Artificial Intelligence and Machine Learning intern will have hands-on experience with implementing, deploying, and configurating AI software across the company. The intern will evaluate the strengths and weaknesses of various AI/ML tools, and the opportunities and threats that could be posed by their implementation. The intern will work with multiple team members to develop guidelines and best practice trainings for the use of these applications across the company.


LEARNING GOALS, RESPONSIBILITIES, AND DUTIES

  • Research and deploy AI/ML tools for company use
  • Configure platform specific AI/ML tools offered by various enterprise software platforms
  • Assist in cross-departmental AI/ML initiatives for use in the manufacturing industry
  • Monitor current AI/ML knowledge, trends, and regulations
  • Collaborate with team members to brainstorm new ideas and explore potential applications of AI
  • Organize and present a comprehensive presentation upon completion of projects and research to leadership
  • Perform other job duties as assigned by supervisor



Requirements:


QUALIFICATIONS AND EDUCATION REQUIREMENTS

Must be a sophomore or higher pursuing a bachelor’s degree in computer science, data science, information systems, management information systems, software engineering, or related degree.


PREFERRED SKILLS AND EXPECTATIONS

Academic or professional/internship experience working in a professional setting is a plus but not required.

Ability to work independently on assigned tasks and accepts direction on given assignments

Enthusiasm for technical problem solving with attention to detail and strong communication skills

Ability to learn and research in a dynamic and engaging environment Effective communication skills with the ability to interact with various levels within the organization.

Excellent problem solving and critical thinking skills.


PHYSICAL DEMANDS

This position requires the ability to sit and stand constantly, as well as occasionally move between sitting and standing positions. Regular use of a keyboard is essential.


WORKING CONDITIONS

This position requires the ability to work indoors constantly. The employee will occasionally be exposed to heavy machinery and loud noise levels.


ADDITIONAL NOTES

Must have the right to legally work in the United States.

Must have transportation to and from work. Housing offered if needed.


EEO STATEMENT

We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.


DISCLAIMER

The above job definition information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Job duties and responsibilities are subject to change based on changing business needs and conditions.