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Startup Machine Learning Intern Jobs in Minnesota

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 ...

New

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 ...

New

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

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Startup Machine Learning Intern information

What does a startup machine learning intern do?

A Startup Machine Learning Intern typically assists in developing, testing, and deploying machine learning models to solve real-world business problems in a fast-paced startup environment. Their responsibilities may include data preprocessing, feature engineering, model selection, and performance evaluation. Interns often collaborate closely with data scientists and software engineers, gaining hands-on experience with tools like Python, TensorFlow, or PyTorch. The role provides an opportunity to contribute directly to innovative projects and learn about the startup culture.

What are the typical responsibilities of a startup machine learning intern, and how do they contribute to the team's goals?

As a Startup Machine Learning Intern, you can expect to work on a mix of data preparation, model development, and experimental analysis. Interns often collaborate closely with data scientists, engineers, and product managers to prototype and test machine learning solutions that address real business problems. You'll likely take ownership of individual tasks, such as cleaning datasets, building and validating models, and reporting results to the team. This hands-on environment offers exposure to the full machine learning pipeline and provides opportunities to make meaningful contributions to the company's progress.

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

To thrive as a Startup Machine Learning Intern, you typically need a solid understanding of machine learning concepts, programming proficiency in Python, and coursework or experience in data science or statistics. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving skills, initiative, and the ability to communicate complex ideas clearly are essential soft skills in a dynamic startup environment. These competencies enable interns to quickly contribute to projects, adapt to evolving tasks, and support innovation within fast-paced teams.

What is the difference between Startup Machine Learning Intern vs Startup Data Scientist?

AspectStartup Machine Learning InternStartup Data Scientist
Required CredentialsTypically pursuing or recent graduate in CS, Data Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields; often with experience
Work EnvironmentEntry-level, learning-focused, collaborative team settingAdvanced projects, strategic decision-making, leadership roles
Employer & Industry UsageStartups, tech companies, research labsStartups, tech firms, larger organizations with data teams

The Startup Machine Learning Intern role is an entry-level position aimed at gaining practical experience in machine learning within startup environments. In contrast, a Startup Data Scientist typically has more experience and handles complex data analysis, model development, and strategic insights. The internship is ideal for students or recent grads, while data scientists are more senior roles focused on driving data-driven decisions.

What are the most commonly searched types of Startup Machine Learning jobs in Minnesota?

The most popular types of Startup Machine Learning jobs in Minnesota are:

What are popular job titles related to Startup Machine Learning Intern jobs in Minnesota?

For Startup Machine Learning Intern jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Startup Machine Learning Intern jobs in Minnesota look for?

The top searched job categories for Startup Machine Learning Intern jobs in Minnesota are:

What cities in Minnesota are hiring for Startup Machine Learning Intern jobs?

Cities in Minnesota with the most Startup Machine Learning Intern job openings:

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.
ITAR

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