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Embedded Machine Learning Engineer Jobs in Minneapolis, MN

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 ...

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 ...

Machine Learning Tutor

Edina, MN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Showing results 1-20

Embedded Machine Learning Engineer information

See Minneapolis, MN salary details

$73.1K

$160.1K

$181.6K

How much do embedded machine learning engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for embedded machine learning engineer in Minneapolis, MN is $160,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,300.00 and $180,600.00 per year, depending on experience, location, and employer.

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

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What does an Embedded Machine Learning Engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are some common challenges faced by Embedded Machine Learning Engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What are popular job titles related to Embedded Machine Learning Engineer jobs in Minneapolis, MN? For Embedded Machine Learning Engineer jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning Engineer jobs in Minneapolis, MN look for? The top searched job categories for Embedded Machine Learning Engineer jobs in Minneapolis, MN are:
Infographic showing various Embedded Machine Learning Engineer job openings in Minneapolis, MN as of June 2026, with employment types broken down into 24% Full Time, 74% Part Time, 1% Temporary, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $160,102 per year, or $77 per hour.
Machine Learning Engineer III

Machine Learning Engineer III

AeroVironment

Minneapolis, MN

$129K - $183K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 20 days ago


Job description

Worker Type

Regular


Job Description

Summary
The Machine Learning Engineer III 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.

Citizenship

  • To qualify for this role US citizenship is required.

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 & implement appropriate ML algorithms & tools

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

  • Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors; Demonstrates good judgment in selecting methods & techniques for obtaining solutions

  • 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 5 - 8 years' relevant experience

  • Familiarity with C/C++ and Matlab required

  • Demonstrated ability to troubleshoot complex systems

  • Familiarity with office software and computer-based productivity tools

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

Other Qualifications & Desired Competencies

  • Advanced degree is preferred

  • Works well within defined requirements to complete tasks with little instruction

  • 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:

$129,500 - $183,750

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.