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Embedded Machine Learning Internship Jobs in Maple Grove, MN

Principal Sensor Engineer

Eagan, MN · On-site

$85K - $128K/yr

Familiarity with machine learning or data science approaches applied to sensor systems or data analysis * Experience developing or supporting embedded, manufactured products * Experience with ...

Exhibits relentless focus in software reliability engineering standards embedded into development ... Familiarity with Azure Machine Learning and integration of data engineering workflows with ML ...

... engineering standards embedded into development standards * - Embraces emerging technology ... Familiarity with Azure Machine Learning and integration of data engineering workflows with ML ...

Familiarity with machine learning or data science approaches applied to sensor systems or data analysis * Experience developing or supporting embedded, manufactured products * Experience with ...

ESL Teacher

Minneapolis, MN · On-site

$46K - $50K/yr

Knowledge of subject matter, classroom management techniques as well as students' learning styles ... Assists with providing ESL job-embedded professional development KNOWLEDGE AND SKILLS: * Ability ...

ESL Teacher

Brooklyn Park, MN · On-site

$46K - $50K/yr

Knowledge of subject matter, classroom management techniques as well as students' learning styles ... Assists with providing ESL job-embedded professional development KNOWLEDGE AND SKILLS: * Ability ...

SponsorUniversity Regional Scout

Minneapolis, MN · On-site

$1K - $1K/wk

Internship Overview This program offers a hands-on, boots-on-the-ground learning experience in the sports sponsorship industry. Participants will be embedded directly into live sporting and ...

Senior Software Engineer

Saint Paul, MN

$123K - $163K/yr

... internship, or personal project work. This person should be comfortable owning major technical ... machine learning to deliver innovative solutions for customers. * Build, maintain, and enhance ...

Senior Software Engineer

Saint Paul, MN · On-site

$123K - $163K/yr

... internship, or personal project work. This person should be comfortable owning major technical ... machine learning to deliver innovative solutions for customers. * Build, maintain, and enhance ...

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Embedded Machine Learning Internship information

See Maple Grove, MN salary details

$26.1K

$43.6K

$90.1K

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

As of Jun 11, 2026, the average yearly pay for embedded machine learning internship in Maple Grove, MN is $43,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,300.00 and $47,100.00 per year, depending on experience, location, and employer.

What is an Embedded Machine Learning Internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an Embedded Machine Learning Internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

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

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.
What are popular job titles related to Embedded Machine Learning Internship jobs in Maple Grove, MN? For Embedded Machine Learning Internship jobs in Maple Grove, MN, the most frequently searched job titles are:
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What cities near Maple Grove, MN are hiring for Embedded Machine Learning Internship jobs? Cities near Maple Grove, MN with the most Embedded Machine Learning Internship job openings:
Software Engineer Contract to Hire (Onsite, Shakopee MN)

Software Engineer Contract to Hire (Onsite, Shakopee MN)

ReSound

Shakopee, MN

Full-time

Medical, Retirement, PTO

Posted 24 days ago


Job description

We are seeking an experienced Software Engineer to join our Global Operations team, driving the deployment and continuous improvement of next-generation manufacturing systems. This role will play a key part in developing and implementing software solutions that connect equipment and hardware, enable data-driven decision-making, support intelligent automation, and leverage emerging AI technologies across our global network of production sites. This is a hands-on software engineering role embedded within global operations, helping design and deliver software solutions that enable manufacturing excellence.

Essential Functions (Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)

Digital Manufacturing Development

  • Design, develop, and maintain modular software applications supporting production workflows, traceability, and quality.
  • Translate manufacturing process flows into scalable software solutions.
  • Build reusable components and services to standardize global deployment.

Intelligent Automation

  • Explore and experiment with emerging technologies such as AI, machine learning, and advanced analytics to enhance manufacturing systems and improve operational efficiency, quality, and on time delivery.
  • Develop software capabilities that enable automated decision support within production workflows.
  • Integrate data from equipment, systems, and operators to enable real-time operational insights.

Cloud and Application Architecture

  • Develop and deploy applications using Microsoft Azure services including:
  • Design secure, scalable cloud architecture aligned with enterprise standards.
  • Support containerization and CI/CD automation using Azure DevOps pipelines.

System Integration

  • Develop backend services and REST APIs connecting:
    • ERP systems
    • Manufacturing equipment
    • Data warehouses
    • Quality systems
  • Enable structured data pipelines supporting reporting, SPC, and analytics.

Agile Development

  • Full software development lifecycle, including design, development, testing, deployment and monitoring
  • Support automated testing and validation documentation in regulated environments.

Manufacturing Collaboration

  • Work with Manufacturing, Quality, Engineering, and Supply Chain teams to:
    • Map process flows
    • Identify inefficiencies
    • Digitalize manual workflows
    • Enable process controls through software logic

Performance & Reliability

  • Monitor system performance and ensure reliability in production/operational environment.
  • Support global deployments, validation activities, and on-site troubleshooting.

Documentation & Compliance

  • Develop and maintain validation documentation aligned to ISO and regulatory standards.
  • Ensure traceability of requirements to code and test cases.

What Will Make this Role Successful

  • Strong and effective collaboration with engineering and manufacturing operations teams both locally and globally.
  • Curiosity and eagerness towards new technologies such as AI, intelligent automation, and advanced analytics.
  • Ambitious application of applying modern software approaches to real-world operational environments.
  • Self-starter mindset with the ability to work effectively in greenfield environments where systems, standards, and processes are still being established.
  • Ability to operate in fast-evolving environments, taking ownership of problems, and driving solutions from concept through deployment.
  • Ability to balance software engineering best practices with the practical realities of production environments (reliability, uptime, and usability on the production floor).

Desired Qualifications

Required Experience:

  • Bachelor's degree in Computer Science, Software Engineering, or related field

Experience:

  • 2-5 years of professional software development experience.
  • Strong programming experience with C#, Python, SQL.
  • Experience developing applications using .NET.
  • Experience building REST APIs and backend services.
  • Experience with SQL and NoSQL databases.

Travel (if necessary):

  • Based in Shakopee, US with collaboration across global manufacturing and development teams (APAC, EMEA, and North America).
  • Travel based on project needs 0-10 days annually

Working Environment:

Near the manufacturing floor. Open floorplan

Physical Demands:

Must be able to sit and stand for long periods of time. Ability to work on PC's/monitors for long periods of time

Position Type and Expected Hours of Work:

Full-time position scheduled Monday-Friday with majority of time on-site (some flexibility)

About Us

GN brings people closer through our leading intelligent hearing, audio, video, and gaming solutions. Inspired by people and driven by innovation, we deliver technology that enhance the senses of hearing and sight. We help people with hearing loss overcome real-life challenges, improve communication and collaboration for businesses, and provide great experiences for audio and gaming enthusiasts.


What We Offer
We value our employees and offer competitive wages and benefits including:
- Generous Benefits including PTO and Paid Holidays
- 401k with Company match
- Paid Parental Leave & Transition Back to Work Benefits
- Company HSA Contributions
- Discounted GN Group products

We encourage you to apply

Even if you don't match all the above-mentioned skills, we will gladly receive your application if you think you have transferrable skills. We highly value a mindset, motivation, and energy, that aligns with our core values, to not only ensure growth for you, but for your team and the wider GN organization as well.

We are committed to an inclusive recruitment process

GN welcomes applicants from all backgrounds and applicants will receive equal consideration for employment. We make life sound better by developing intelligent sound solutions that transform lives through the power of sound, enabling you to hear more, do more & be more than you ever thought possible. Our integrated headset and communications solutions assist professionals in all types of businesses in being more productive. Our wireless headsets are designed to fit any lifestyle - from sports enthusiasts to commuters and office workers. GN operates in more than 90 countries across the world. Founded in 1869, GN has more than 7,000 employees today.

Pay Transparency Notice:

The target annual salary for this position can range from $85,000.00 - $105,000.00. In addition, you may be eligible for a discretionary bonus. Compensation for roles at GN depend on a wide array of factors including but not limited to location, role, skill set, and level of experience. To remain competitive, GN offers a competitive benefits package, including annual bonuses, health insurance, a 401(k) plan, paid time off and paid holidays.

Please note that this position does not offer relocation package and candidates must be able to work onsite at our Shakopee, Minnesota office.

GN participates in E-Verify. View the E-Verify posterhere. View the Right to Work poster here.

Disability Accommodation

If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please e-mail bloomington-humanresources@gnresound.com. This email is provided for the purpose of supporting applicants who have a disability that prevents them from being able to apply online. Only emails received for this purpose will be returned. Emails left for other purposes, such as following up on an application or technical issues not related to a disability, will not receive a response.