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Machine Learning Intern Jobs in Minneapolis, MN (NOW HIRING)

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 ...

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Machinist Intern

Minneapolis, MN · On-site

$21 - $22/hr

Job Summary The Machinist Intern position allows students pursuing a career in the manufacturing ... Load parts in the machine, cycle machine and detect malfunctions in machine operations, such as ...

Machinist Intern

Minneapolis, MN · On-site

$21 - $22/hr

Job Summary The Machinist Intern position allows students pursuing a career in the manufacturing ... Load parts in the machine, cycle machine and detect malfunctions in machine operations, such as ...

This position provides hands-on training and exposure to diagnostic imaging techniques, with a focus on learning the practical and theoretical aspects of ultrasound technology. The intern will assist ...

Intern will choose one of two ministry tracks based on their calling and interests: * Chaska NXT ... Read, discuss, and participate in required learning assignments with supervisor. Chaska Worship ...

Applied Scientist Intern

Eagan, MN · On-site

$15.25 - $20.50/hr

Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson Reuters Labs is seeking a ML/NLP scientist intern with a passion for problem-solving using ...

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Machine Learning Intern information

See Minneapolis, MN salary details

$26.6K

$44.4K

$91.9K

How much do machine learning intern jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning intern in Minneapolis, MN is $44,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $48,000.00 per year, depending on experience, location, and employer.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

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

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What are the most commonly searched types of Machine Learning jobs in Minneapolis, MN?

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

What are popular job titles related to Machine Learning Intern jobs in Minneapolis, MN?

For Machine Learning Intern jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Machine Learning Intern jobs in Minneapolis, MN look for?

The top searched job categories for Machine Learning Intern jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Machine Learning Intern jobs?

Cities near Minneapolis, MN with the most Machine Learning Intern job openings:

Infographic showing various Machine Learning Intern job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $44,449 per year, or $21.4 per hour.

Summer 2027 Machine Learning Intern

AeroVironment, Inc.

Minneapolis, MN • On-site

Full-time

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 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements.
Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a 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.
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