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Machine Learning Manager Jobs in Richfield, MN (NOW HIRING)

As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in ... Help manage project resources such as datasets, hardware, and time to support project timelines.

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Senior Machine Learning Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

Responsibilities : • Operationalize machine learning models by building and maintaining robust, scalable pipelines for training, evaluation, deployment, and lifecycle management across cloud, on ...

Manage and optimize AWS infrastructure for machine learning workloads, balancing cost-effectiveness, security, and availability. * CI/CD Pipeline Development: Build and maintain robust CI/CD ...

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Machine Learning Manager information

See Richfield, MN salary details

$52.8K

$84.6K

$122.2K

How much do machine learning manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning manager in Richfield, MN is $84,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $95,800.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

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

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

What cities near Richfield, MN are hiring for Machine Learning Manager jobs?

Cities near Richfield, MN with the most Machine Learning Manager job openings:

Infographic showing various Machine Learning Manager job openings in Richfield, MN as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $84,584 per year, or $40.7 per hour.

Summer 2027 Machine Learning Intern

AeroVironment, Inc.

Minneapolis, MN • On-site

$16.53/hr

Other

Medical, Dental, Vision, Retirement

Posted 2 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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