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Machine Learning Defense Jobs in Minnesota (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 ...

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 ...

Senior Machine Learning Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

Anno.ai is a mission-focused defense technology startup dedicated to accelerating the safe and effective development of next-generation autonomous systems. As a Senior Machine Learning Engineer, you ...

... defense and commercial applications. These development efforts will generally be small focused design teams which will require a senior machine learning engineer to use a range of skills and tools ...

Machinist Intern

Minneapolis, MN · On-site

$21 - $22/hr

... defense, semiconductor, oil and energy. Take a virtual tour of our Machining Division by clicking ... Load parts in the machine, cycle machine and detect malfunctions in machine operations, such as ...

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Lyntris is a defense technology company that connects sensing to action across the connected ... The Data Scientist will apply knowledge of statistics, machine learning, programming, and data ...

Data Scientist

Saint Paul, MN · On-site

$106 - $127/hr

Lyntris is a defense technology company that connects sensing to action across the connected ... The Data Scientist will apply knowledge of statistics, machine learning, programming, and data ...

Machine Operator

Hamel, MN · On-site

$20 - $24/hr

Whether it's learning a new tool or exploring a fresh idea, we encourage curiosity and continuous ... defense applications. Our actuators are at the heart of the automation revolution, advancing ...

Machine Operator

Hamel, MN · On-site

$20 - $24/hr

Whether it's learning a new tool or exploring a fresh idea, we encourage curiosity and continuous ... defense applications. Our actuators are at the heart of the automation revolution, advancing ...

Machine Operator

Chaska, MN · On-site

$20 - $24/hr

... defense, medical, electronics, and other high-performance applications. We are also a Preferred ... Ability to apply their knowledge/experience and open to learning new skills * Willing to put in ...

Machine Operator

Chaska, MN · On-site

$20 - $24/hr

... defense, medical, electronics, and other high-performance applications. We are also a Preferred ... Ability to apply their knowledge/experience and open to learning new skills * Willing to put in ...

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Machine Learning Defense information

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in machine learning defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.

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

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

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

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

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

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

What cities in Minnesota are hiring for Machine Learning Defense jobs?

Cities in Minnesota with the most Machine Learning Defense job openings:

Infographic showing various Machine Learning Defense job openings in Minnesota as of June 2026, with employment types broken down into 5% As Needed, 80% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Summer 2027 Machine Learning Intern

AV

Saint Paul, MN • On-site

Other

Medical, Dental, Vision, Retirement

Posted 4 days ago


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