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Embedded Machine Learning Internship Jobs in Maple Grove, MN

... internships and undergraduate research count). * Strong analytical skills and scientific curiosity ... What You Might Have * Familiarity with machine learning or large, high-dimensional datasets.

Toolmaker Internship

Anoka, MN ยท On-site

$20 - $35/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Work in a collaborative environment where craftsmanship and continuous learning are valued. Who We're Looking For * Students or recent graduates in machining, toolmaking, or related technical ...

Firmware Engineer II (Continuation)

Shakopee, MN ยท On-site +1

$85K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... complex machines. * Design, code, test, debug, and document embedded software components or ... With learning-forward initiatives and exciting challenges, your growth is our priority.

Firmware Engineer II (Continuation)

Shakopee, MN ยท On-site

$85K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... complex machines. * Design, code, test, debug, and document embedded software components or ... With learning-forward initiatives and exciting challenges, your growth is our priority.

Social Work Intern

Saint Paul, MN

$15.25 - $19.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Integrated Behavioral Health (IBH) includes therapists embedded within primary care clinics that ... interns from the mental health and medical departments at Children's through shadowing and learning ...

Social Work Intern

West Saint Paul, MN

$15.25 - $19.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Integrated Behavioral Health (IBH) includes therapists embedded within primary care clinics that ... interns from the mental health and medical departments at Children's through shadowing and learning ...

Social Work Intern

West Saint Paul, MN

$15.25 - $19.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Integrated Behavioral Health (IBH) includes therapists embedded within primary care clinics that ... interns from the mental health and medical departments at Children's through shadowing and learning ...

Social Work Intern

West Saint Paul, MN

$15.25 - $19.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Integrated Behavioral Health (IBH) includes therapists embedded within primary care clinics that ... interns from the mental health and medical departments at Children's through shadowing and learning ...

ESL Teacher

Minneapolis, MN

$46K - $50K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ยท On-site

$46K - $50K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Showing results 41-60

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 Aug 18, 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:

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:

Graduate Engineering Intern - Building Controls Modeling & Simulation

Daikin Applied

Plymouth, MN โ€ข On-site

$30 - $33/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Job description

Join the world's largest HVAC company, named by Forbes as one of America's Best-In-State Employers 2025!
Graduate Engineering Intern - Building Controls Modeling & Simulation - Plymouth, MN - Hybrid
Make your mark at the world's largest HVAC company
Daikin Applied is seeking a highly motivated graduate engineering student for a full-time, 10 month engagement as a Graduate Engineering Intern (Building Controls Modeling & Simulation). This position will support the development of a generic, parameterizable building energy and controls model using Modelica / Dymola, with integration into FMU-based workflows and MATLAB/Simulink environments.
This effort will serve as a proof of concept (PoC) demonstrating that physics-based building models can be used to evaluate transient behavior, robustness, and performance of building automation and control strategies in greater than real time Model in the Loop (MiL) simulations.
The longer-term vision is to evolve this capability into a scalable engineering and decision support tool, potentially leveraging AI and machine learning, to help applications and sales engineers size, tune, and compare optimal building control solutions across a wide range of building types and operating conditions.
Come be a part of an exciting journey at Daikin Applied, where innovation and excellence drive our every endeavor!
Location: Plymouth, MN - Hybrid
Timeline: This Internship opportunity will start approximately May-June 2026 (flexible to align with academic schedules) and has an end date of December 2026
What you will do:
  • Develop a generic, modular, and parameterizable building model in Modelica/Dymola suitable for multiple building archetypes and HVAC/control configurations.
  • Leverage and extend existing Modelica building libraries (e.g., Berkeley National Laboratory / Modelica Buildings Library) where appropriate.
  • Implement and evaluate building automation and control strategies within a dynamic simulation framework.
  • Export and integrate models as FMUs (Functional Mock-up Units) for use in MATLAB/Simulink MiL simulations.
  • Demonstrate transient system behavior, control robustness, and performance under disturbances, parameter variation, and uncertainty.
  • Optimize model structure and solver settings to enable faster-than-real-time simulation performance.
  • Collaborate with engineering stakeholders to define modeling scope, use cases, and success criteria for the PoC.
  • Clearly document model architecture, assumptions, limitations, and validation results.
  • Explore opportunities to incorporate AI/ML techniques (e.g., surrogate modeling, optimization, or design-space exploration) to enhance scalability and usability.

What's in it for you:
  • The ability to make an impact and shape your career with a company that is passionate about growth
  • The support of an organization that believes it is vital to include and engage diverse people, perspectives, and ideas to achieve our best

Minimum Qualifications:
  • Currently enrolled M.S. or Ph.D. student in Mechanical Engineering, Electrical Engineering, Architectural Engineering, Controls Engineering, or a closely related field.
  • Academic or research focus in building automation, building energy modeling, HVAC systems, or advanced control methods.
  • Experience with Modelica and Dymola, or equivalent equation-based physical modeling tools.
  • Strong foundation in dynamic systems, control theory, and numerical simulation.
  • Experience using MATLAB/Simulink for modeling, simulation, or control development.
  • Proficiency in technical programming or scripting (MATLAB, Python, or similar).
  • Ability to work independently on an applied, deliverables-driven project and communicate results clearly.

Preferred Qualifications:
  • Familiarity with the Berkeley National Laboratory Modelica Buildings Modeling Library.
  • Experience with the FMI/FMU standard and multi-tool simulation workflows.
  • Knowledge of building automation systems (BAS) architectures and control strategies.
  • Exposure to MiL, SiL, real-time, or accelerated simulation workflows.
  • Coursework or experience in optimization, reduced-order modeling, or machine learning.
  • Interest in applying AI/ML methods to physics-based engineering models and decision-support tools.

Benefits:
  • Daikin Applied offers the following benefits for this position, subject to applicable eligibility requirements:
  • Multiple medical insurance plan options + dental and vision insurance
  • 401K retirement plan with employer match
  • Paid time off and company paid holidays
  • Paid sick time in accordance with the federal, state and local law
  • Tuition Reimbursement after 6 months of continuous service

The typical hourly rate for this position ranges from $30.00/ hr. to $33.00 / hr. in Minnesota. The range displayed represents the pay range for all positions in the job grade which this position falls. Individual base pay will depend on a wide range of factors including your skills, qualifications, experience, and location.
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If you're looking for an engaging career with growth opportunities in a supportive environment, you'll love a career at Daikin Applied!