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Artificial Intelligence Machine Learning Engineer Jobs in Minnesota

AeroVironment

Machine Learning Engineer II

Minneapolis, MN · On-site

$102K - $155K/yr

Citizenship required Summary The Machine Learning Engineer II will have the opportunity to interact with R&D Group to develop a variety of innovative computer vision detection, classification ...

New

Onsights

Senior Machine Learning Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

As a Senior Machine Learning Engineer, you will design, develop, test, document, deploy, and maintain production machine learning and statistical modeled software to automate processes and streamline ...

Bespoke Labs

Machine Learning Engineer

Rochester, MN · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Duluth, MN · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Plymouth, MN · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Minnesota

Artificial Intelligence Machine Learning Engineer information

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$30.9K

$126.1K

$189.5K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for artificial intelligence machine learning engineer in Minnesota is $126,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $151,800.00 per year, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Minnesota? For Artificial Intelligence Machine Learning Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Minnesota look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities in Minnesota with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Minnesota as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $126,118 per year, or $60.6 per hour.
Machine Learning Engineer II

Machine Learning Engineer II

AeroVironment

Minneapolis, MN • On-site

$102K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago

Job description

Worker Type

Regular


Job Description

Special Requirements: U.S. Citizenship required

Summary

The Machine Learning Engineer II will have the opportunity to interact with R&D Group to develop a variety of innovative computer vision detection, classification, localization, and tracking solutions for 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 across traditional engineering, computer science, and mathematical disciplines including computer vision, machine learning, optimization, deep convolutional neural networks, and visual tracking. This position will work on a variety of stages of development including requirements definition, concept design, prototyping, detailed design, test and evaluation and validation and verification testing.

Position Responsibilities

  • Support development of computer vision and machine learning algorithms capable of detection, classifying, localizing, and tracking objects-of-interest from a group 1 UAV using the existing gimballed camera payload

  • Write and test software to support the integration of machine learning algorithms into aircraft (such as autopilots, payloads, or other functional components) or other robotic systems.

  • Explore and visualize data to gain an understanding of it, then identifying differences in data distribution that could affect

  • Implement Machine Learning systems and validate designs through a series of purpose-designed experiments

  • Create objectives and develop models that help to achieve them, along with metrics to track their progress

  • Perform analysis tasks using AeroVironment and industry developed tools

  • Managing available resources such as hardware, data, and personnel so that deadlines are met

  • Analyze the ML algorithms to solve a given problem and ranking them by their success probability

  • Performance when deploying the model in the real world; Verify data quality, and/or ensure it via data cleaning

  • Analyze the errors of the model and designing strategies to overcome them

  • Study and transform data science prototypes; Research and implement appropriate ML algorithms and tools

  • Select appropriate datasets and data representation methods; Run machine learning tests and experiments

  • Works on problems of moderate scope where analysis of situations or data requires a review of variety of factors. Exercises judgment within defined procedures and practices to determine appropriate action

  • Other duties as assigned

Basic Qualifications (Required Skills & Experience)

  • BS in Computer Vision and Machine Learning is required or equivalent combination of education, training, and experience - with qualifications in any of the following fields: Mathematics, Optimization, Computer Science/Engineering, Electrical Engineering, Aerospace, or Mechanical Engineering

  • Minimum of 2 - 5 years' relevant experience

  • Familiarity with C/C++ and Matlab required

  • Familiarity with office software and computer-based productivity tools

  • Demonstrated ability to troubleshoot complex systems

Other matrixed skills include:

  • Proficiency with a deep learning framework such as TensorFlow or Keras

  • Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas

  • Expertise in visualizing and manipulating big datasets

  • Proficiency with OpenCV

  • Familiarity with Linux

  • Ability to select hardware to run an ML model with the required latency

  • Computational statistics

  • Mathematical optimization

  • Data mining

  • Exploratory data analysis

  • Predictive analytics

Special Requirements: U.S. Citizenship required

Other Qualifications & Desired Competencies)

  • Works well within defined requirements to complete tasks under moderate supervision

  • Must be a team player and collaborate effectively

  • Excellent verbal and written skills

  • Has effective problem-solving, analytical and interpersonal skills

  • Able to excel in a fast-paced, deadline-driven environment, where small teams share a broad variety of duties

  • Displays strong initiative and drive to accomplish goals and meet company objectives

  • Takes ownership and responsibility for current and past work products

  • Is committed to learning from mistakes and driven to improve and enhance performance of oneself, others, and the company

Physical Demands

  • Ability to work in an office and manufacturing environment (Constant)

  • Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent)


Clearance Level

No Clearance

The salary range for this role is:

$102,000 - $155,500

AeroVironment considers several factors when extending an offer, including but not limited to, the location, the role and associated responsibilities, a candidate's work experience, education/training, and key skills.

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 must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A "U.S. person" according to the ITAR 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.

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.

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

U.S. Citizenship required. Must be willing to work on government contracts and have the ability to obtain a security clearance.

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