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Internship Ai Computer Science Jobs in Mankato, MN

Maverick Software

(Hybrid) Software Engineer Intern

MN · Hybrid

AI & Machine Learning - TensorFlow, PyTorch, OpenAI APIs, Azure AI, AWS SageMaker, natural language ... Pursuing a Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering ...

Compeer Financial

Manager Engineering

Mankato, MN · Hybrid

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical ... AI-assisted development tools to improve productivity, quality, scalability, and delivery ...

Actalent

Electrical Engineer

Mankato, MN

$60K - $80K/yr

Develop schematics, wiring diagrams, and single-line diagrams using CAD tools (e.g., AutoCAD ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

VOLT

Onsite Recruiter NEW ULM, MN

New Ulm, MN · On-site

$50K - $55K/yr

Proficiency with basic computer systems (MS Office, ATS, timekeeping tools) Pay Rate: $50,000 - $55 ... You can access our privacy policy at volt-information-sciences-privacy-policy.pdf olt is ...

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Internship Ai Computer Science information

What is an AI Computer Science internship?

An AI Computer Science internship is a temporary position for students or recent graduates to gain hands-on experience working with artificial intelligence technologies and computer science concepts. Interns typically work on real-world projects involving machine learning, data analysis, programming, and algorithm development. These internships help build practical skills, expand professional networks, and often serve as a stepping stone to full-time jobs in the tech industry.

What are the key skills and qualifications needed to thrive as an AI Computer Science intern?

To thrive as an AI Computer Science Intern, you need a solid understanding of programming languages (such as Python or Java), data structures, algorithms, and foundational AI concepts, typically supported by ongoing or completed studies in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems (such as Git), and data analysis tools is highly beneficial. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help interns stand out. These skills and qualities are crucial for contributing to complex AI projects, adapting to new technologies, and collaborating effectively within technical teams.

What types of projects can I expect to work on during an AI Computer Science internship?

As an AI Computer Science intern, you can expect to work on projects such as developing machine learning models, analyzing large datasets, assisting with algorithm optimization, or contributing to research on natural language processing or computer vision. Interns often collaborate with cross-functional teams including data scientists, software engineers, and product managers. The work environment is typically fast-paced and encourages learning, experimentation, and regular feedback. You'll have opportunities to present your findings, participate in code reviews, and attend team meetings, helping you build both technical and professional skills.
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Internship Ai Computer Science jobs near you
Infographic showing various Internship Ai Computer Science job openings in Mankato, MN as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

(Hybrid) Software Engineer Intern

Maverick Software

MN • Hybrid

Part-time

Re-posted 11 hours ago

Job description

Maverick Software Consulting is looking for talented and highly motivated students to work with our clients while taking classes.


Help our clients build and test software using:

  • Java Software Development - Java, Spring Boot, Quarkus, IntelliJ IDEA, Eclipse, and related frameworks.
  • Microsoft Software Development - .NET Core, C#, Visual Studio, and cloud-based .NET solutions.
  • Web Development - HTML, CSS, JavaScript, TypeScript, React, Angular, Vue.js, and cloud-based hosting on AWS, Azure, or Google Cloud.
  • Cloud Development - AWS, Azure, Google Cloud, serverless architectures, containerization (Docker, Kubernetes), and DevOps pipelines.
  • AI & Machine Learning - TensorFlow, PyTorch, OpenAI APIs, Azure AI, AWS SageMaker, natural language processing (NLP), and computer vision applications.
  • Automated Software Testing - Selenium, Playwright, Cypress, JUnit, NUnit, Apache JMeter, AI-driven testing frameworks, and CI/CD automation.


You will be part of a software development team helping our clients develop and test their software. We'll provide training, let you set your own flexible schedule, and give you hands-on experience that employers value.

We provide training to bridge the gap between academic learning and the practical skills needed for an entry-level software engineer. You'll gain real-world experience in software development and testing-not just 'busy' work-as an integral part of our clients' teams.

See what some of our students have to say: https://www.mavericksoftware.com/students


Qualifications:

  • Currently living and enrolled in a Minneapolis / St. Paul Area University
    • Augsburg University
    • Bethel University
    • Concordia University, St. Paul
    • Hamline University
    • Macalester College
    • Metropolitan State University
    • University of Minnesota
    • University of Northwestern
    • University of St. Thomas
    • University of Wisconsin-Stout
  • Current Sophomore, Junior, or Senior with at least 11 months remaining before graduation.
  • Pursuing a Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related field.
  • Availability: 24 hours per week during the school year, 24 hours per week over the summer.
  • Location: Work the first two or three days on site at the clients office in Minneapolis, then after that it's mostly remote. There may be an occasional trip to clients office in Minneapolis
  • Self-motivated, eager to learn, and enthusiastic about applying technical skills in real-world projects.


Apply