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Embedded Machine Learning Internship Jobs in Maple Grove, MN

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Exposure to machine learning, signal processing, or scientific computing * Experience working in ... embedded throughout critical infrastructure, defense, manufacturing, energy, transportation, and ...

... embedded processors * Supports testing and demonstration of components and integrated systems ... Understands or has familiarity with Machine Learning and Computer Vision concepts * Displays strong ...

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

This role will manage multiple concurrent AI initiatives across platform capabilities, embedded ... Experience managing AI, machine learning, or data-driven initiatives * Familiarity with AI/ML ...

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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 9, 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 job categories do people searching Embedded Machine Learning Internship jobs in Maple Grove, MN look for? The top searched job categories for Embedded Machine Learning Internship jobs in Maple Grove, MN 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:
Teacher, Business (2026-2027) STEM/CTE

Teacher, Business (2026-2027) STEM/CTE

Minneapolis Public Schools

Minneapolis, MN

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Minneapolis Public Schools rating

6.3

Company rating: 6.3 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

354th of 545 rated elementary and secondary schools


Job description

Below is specific information for you to consider about this position.

Job Title: Teacher, Business (2026-2027) STEM/CTE  and Requisition ID number: 104504

Close Date:  No established closing date;  open until filled

Organizational Unit:  STEM/CTE (10001056) 

Site:  Edison (0352) 

FTE:  1.0 FTE @ 42 Weeks; this is based on full-time equivalency with 1.0 being full time

Union:  Teachers(04) 

Functional Area:  Teaching 

Salary Range:  55,796-116,593

Benefits:  Dental insurance | Health insurance | Vision insurance | Paid time off | HSA & FSA | Retirement plan

Resume and Cover Letter are mandatory to apply for any position.

2 Positions Available

1 at Fulltime & 1 at 0.6 FTE or 22.5 Hours/Week

SUMMARY

Provide quality instruction and site based program coordination aligned to state and federal requirements associated with Career & Technical Education in the career field of Business, Management and Administration.   Possible courses include, but are not limited to: Entrepreneurship, Microsoft Office, Personal Finance, Principles of Marketing, Data Science and , International Baccalaureate Business and Management.  Implement rigorous inquiry-based learning tasks to engage students in deep content of the discipline in alignment with the appropriate career cluster and pathway. Utilize a variety of assessment strategies - diagnostic, formative and summative, to inform instructional decisions and increase student self-management of learning.

ESSENTIAL FUNCTIONS

Create an educational environment that acknowledges and encourages multiple pathways to post-secondary education including four year degrees, two year degrees from community and technical colleges, industry certifications, apprenticeships and employer-based learning.

Support MPS requirements to implement Career & Technical Education programs of study in alignment with Strengthening Career and Technical Education for the 21st Century Act (Perkins V) state and federal goals and reporting requirements which include:

  • Integration of academics (or liberal arts and sciences) with career and technical education programs.

  • Understand and promote the link between CTE at the secondary and postsecondary levels.

  • Provide students with understanding of all aspects of an industry.

  • Develop, improve or expand the use of technology in CTE.

  • Attend CTE professional development as required to maintain program certification requirements.

  • Actively participate in CTE program evaluations.

  • Initiate, improve, expand and modernize quality CTE programming.

  • Align course curriculum and assessments to Technical Skills Assessments (TSA) approved by Minnesota State and local consortium.

  • Provide activities to prepare special populations for high-skill high-wage, or high-demand occupations that will lead to a living wage career.

Provide context to core academics through integrated, applied and experiential learning (internships, guest speakers, mentoring, job shadowing, worksite tours, field trips, career readiness skills) with a broad exposure to career fields and a balanced high school experience.

Have a working knowledge of and implement the Minnesota State Standards and the District Graduation Requirements; knowledge of the subject matter, classroom management techniques, current researched best practices and strategies, as well as students' learning styles and needs, both academic and affective.

Teach students the required curricula using strategies that foster thinking, reasoning and problem solving.

Collaborate with peers to develop, plan and implement best practices based on the needs/abilities of the students.

Assess students' developmental, cognitive and social needs and provide developmentally appropriate instruction to meet those needs.

Create lessons and learning environments that are safe, respectful and interesting as well as multicultural/gender and ability fair/developmentally appropriate.

Collaborate and communicate regularly with families in making educational decisions and use family and community resources to support learning.

Acquire knowledge of the goals of the Minneapolis Public School District Improvement Agenda and site/school goals. Work to support and achieve those goals.

Assess own instructional effectiveness through the Professional Development Process (PDP). Participate in ongoing and regular staff, team and individual professional development.

Education and Experience Guidelines

Bachelor's Degree from an accredited university OR equivalent knowledge gained through related industry experience

Prior successful experience student teaching or teaching in an urban, multicultural education setting.

Prior successful experience interpreting and implementing Minnesota Administrative Rule 8710.4825.

Demonstrated continued professional development through course work, research, peer collaboration and/or job-embedded staff development.

Master's or PhD preferred, but not required.

LICENSE AND CERTIFICATION REQUIREMENTS

A valid Minnesota endorsement of Teacher/Coordinator Work-Based Learning in addition or 140050 Business a  teaching license.

                                             


Final candidates may be invited to interview with a committee.  Final appointment to this position will be contingent upon passing a criminal background check.
COMMITMENT TO DIVERSITY:
Diversity is one of Minneapolis Public Schools core values and is essential to our goal of putting children first and making them college-ready.  Diversity of our workforce provides us with a competitive advantage and allows us to better understand, communicate with and educate our diverse student body. Minneapolis Public Schools will not deny anyone the opportunity for training or employment because of race, color, creed, religion, national origin, gender or gender identity, marital status, status with regard to public assistance, disability, sexual orientation, age, family care leave status, or veteran status.

Minneapolis Public Schools strongly encourages diverse candidates to apply.

Posting Notes: | [No Established Closing Date]  | STEM/CTE (10001056)  | Edison (0352)  | Teaching 


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