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Internship Machine Learning Jobs in Saint Paul, MN

Interns work alongside AV team members on meaningful projects involving cutting-edge technology ... As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in ...

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Applied Scientist Intern

Eagan, MN · On-site

$15.25 - $20.50/hr

Applied Scientist Intern The dates for this internship are January 11, 2027-July 12, 2027. Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson ...

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Read, discuss, and participate in required learning assignments with supervisor. Chaska Worship Internship: * Co-lead the youth worship team with the Worship Pastor by: * Planning worship sets.

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Internship Machine Learning information

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$25.8K

$43.1K

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How much do internship machine learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for internship machine learning in Saint Paul, MN is $43,068.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,500.00 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 are the most commonly searched types of Machine Learning jobs in Saint Paul, MN?

The most popular types of Machine Learning jobs in Saint Paul, MN are:

What are popular job titles related to Internship Machine Learning jobs in Saint Paul, MN?

For Internship Machine Learning jobs in Saint Paul, MN, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning jobs in Saint Paul, MN look for?

The top searched job categories for Internship Machine Learning jobs in Saint Paul, MN are:

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

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

Summer 2027 Machine Learning Intern

AeroVironment, Inc.

Minneapolis, MN • On-site

$16.53/hr

Other

Medical, Dental, Vision, Retirement

Posted 3 days ago

New


AeroVironment rating

9.1

Company rating: 9.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

7th of 72 rated aerospace companies


Job description

Worker Type Supplemental Job Description

Summer Internship Program Our paid Summer Internship Program is designed to provide students with an immersive, hands‑on experience within the aerospace and defense industry. Interns work alongside AV team members on meaningful projects involving cutting‑edge technology while developing professional relationships, strategic problem‑solving skills, and practical experience in a full‑time work environment.

This is a 12‑week, onsite program intended for highly motivated and passionate students who are currently enrolled in college or are recent graduates. Applicants must have a minimum 3.0 GPA, with a preference for students at the junior level or above.

Our program has been recognized by Yello and WayUp as one of the Top 100 Internship Programs in the United States for multiple years.

Depending on the team and location, students who are willing to relocate for their internship may be eligible for a relocation and housing reimbursement stipend.

AV offers internship opportunities across various teams and locations throughout the United States. Specific team, location, and program details will be discussed during the interview process.

As a Machine Learning Intern, you will have the opportunity to support the R&D Group at AV in developing innovative computer vision solutions for defense and commercial applications. You will contribute to small, focused design teams working on detection, classification, localization, and tracking technologies. This internship will expose you to various stages of the development process including concept design, prototyping, testing, and evaluation.

Position Responsibilities
  • Support the development of computer vision and machine learning algorithms for detecting, classifying, localizing, and tracking objects-of-interest using UAV-mounted gimballed cameras.
  • Assist in writing and testing software to integrate ML algorithms into aircraft systems (e.g., autopilots, payloads, robotic platforms).
  • Explore and visualize data to understand distribution patterns and potential anomalies.
  • Assist in implementing machine learning systems and validating designs through experiments.
  • Help define objectives, develop models, and track their performance using metrics.
  • Perform data analysis tasks using AV tools and industry-standard platforms.
  • Help manage project resources such as datasets, hardware, and time to support project timelines.
  • Contribute to the evaluation of ML algorithm performance and model deployment strategies.
  • Participate in data preparation activities, including cleaning and transformation.
  • Assist in error analysis and developing corrective strategies.
  • Research and experiment with appropriate ML algorithms and tools.
  • Support running tests and experiments on selected datasets and data representations.
  • Follow standard procedures to analyze data and support development tasks.
  • Perform other duties as assigned.
Basic Qualifications (Required Skills & Experience)
  • Currently pursuing a BS in Computer Vision, Machine Learning, Computer Science, Electrical Engineering, or a related field.
  • Familiarity with C/C++ and MATLAB.
  • Proficiency with office productivity tools.
  • Basic troubleshooting skills for technical systems.
Other Skills & Qualifications
  • Exposure to deep learning frameworks (e.g., TensorFlow, Keras).
  • Familiarity with Python and libraries such as scikit-learn and pandas.
  • Experience with data visualization and handling large datasets.
  • Exposure to OpenCV and working in a Linux environment.
  • Understanding of key concepts in: Machine learning Computer vision Mathematical optimization Data mining Predictive analytics
  • Ability to assist in selecting hardware/software for model deployment.
Preferred Qualifications
  • Effective communication and teamwork skills.
  • Strong initiative and eagerness to learn in a fast‑paced R&D environment.
  • Willingness to take ownership of tasks and learn from feedback.
  • Ability to adapt to changing priorities and work independently under supervision.
Physical Demands

Ability to work in an office and lab environment.

May be required to sit or stand for long periods, use hands/fingers for computer and communication tasks.

ITAR Requirement

This position requires access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). In order to comply with the requirements of the ITAR and/or the EAR, applicants will be asked to provide specific documentation to verify U.S. person status under the ITAR and the EAR. A “U.S. person” according to their definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee, or asylee. See 22CFR §120.15. Some positions will require current U.S. Citizenship due to contract requirements.

Benefits
  • Medical
  • Dental vision
  • 401K with company matching
  • 9/80 work schedule
  • Paid holiday shutdown

For more information about our company benefit offerings please visit: http://www.avinc.com/myavbenefits.

We also encourage you to review our company website at http://www.avinc.com to learn more about us.

Principals only need apply. NO agencies please.

Who We Are

Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we’ve been at the leading edge of technical innovation for more than 45 years.

Be a part of the team that developed the world’s most widely used military drones and created the first submarine‑launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution’s permanent collection in Washington, DC.

Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty – and succeed.

What We Do

Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems.

Agencies of the U.S. Department of Defense and allied military services use the company’s hand‑launched UAS to provide situational awareness to tactical operating units through real‑time, airborne reconnaissance, surveillance, and target acquisition.

We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans.

AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants.

Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status.

ITAR About AV:

AV isn’t for everyone. We hire the curious, the relentless, the mission‑obsessed. The best of the best.

We don’t just build defense technology—we redefine what’s possible. As the premier autonomous systems company in the U.S., AV delivers breakthrough capabilities across air, land, sea, space, and cyber.

From AI‑powered drones and loitering munitions to integrated autonomy and space resilience, our technologies shape the future of warfare and protect those who serve.

Founded by legendary innovator Dr. Paul MacCready, AV has spent over 50 years pushing the boundaries of what unmanned systems can do.

Our heritage includes seven platforms in the Smithsonian—but we’re not building history, we’re building what’s next.

If you’re ready to build technology that matters—with speed, scale, and purpose—there’s no better place to do it than AV.

Careers at AeroVironment
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