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Embedded Machine Learning Internship Jobs in Arizona

Internship or project experience in AI, machine learning, or data science. * Exposure to cloud platforms (AWS, Azure, GCP) and data visualization tools. * Experience with version control systems (Git)

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... and embedded automated quality gates across CI/CD pipelines Travel Requirements Up to 20% Job ...

Assess current-state tools and workflows to identify embedded AI capabilities, automation ... AI / Machine Learning Fundamentals Certification : Google Professional Machine Learning Engineer ...

Assess current-state tools and workflows to identify embedded AI capabilities, automation ... AI / Machine Learning Fundamentals Certification : Google Professional Machine Learning Engineer ...

Thermal Controls R&D Engineer

Chandler, AZ · On-site

$81.20K - $105K/yr

Support development of digital twins and predictive maintenance strategies using machine learning ... Hands-on experience with sensors, actuators, and embedded control hardware. * Excellent analytical ...

Software Engineer II

Phoenix, AZ

$96.80K - $132.60K/yr

... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ... Experience with hardware-software integration and embedded system testing. * Active and ...

Software Engineer II

Tucson, AZ

$92.20K - $126.20K/yr

... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ... Experience with hardware-software integration and embedded system testing. * Ability to obtain ...

Software Engineer II

Tucson, AZ

$92.20K - $126.20K/yr

... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ... Experience with hardware-software integration and embedded system testing. * Active and ...

Software Engineer II

Tucson, AZ · On-site

$92.20K - $126.20K/yr

... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ... Experience with hardware-software integration and embedded system testing. * Active and ...

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Embedded Machine Learning Internship information

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 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 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 the most commonly searched types of Embedded Machine Learning jobs in Arizona? The most popular types of Embedded Machine Learning jobs in Arizona are:
What are popular job titles related to Embedded Machine Learning Internship jobs in Arizona? For Embedded Machine Learning Internship jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning Internship jobs in Arizona look for? The top searched job categories for Embedded Machine Learning Internship jobs in Arizona are:
What cities in Arizona are hiring for Embedded Machine Learning Internship jobs? Cities in Arizona with the most Embedded Machine Learning Internship job openings:
Infographic showing various Embedded Machine Learning Internship job openings in Arizona as of May 2026, with employment types broken down into 33% Full Time, 61% Part Time, 2% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.
Electrical Engineer I-III

Electrical Engineer I-III

Paper Converting Machine

Tucson, AZ • On-site

Full-time

Posted 3 days ago


Job description

About Us:

Machine Solutions is the premier provider of advanced equipment and services for the medical device, biopharmaceutical, and blood- and plasma-collection industries. We support our customers' needs and growth by delivering quality and value through a wide breadth of products. Machine Solutions provides proprietary mechanical solutions to a variety of complex process, testing and device design challenges. Our equipment has become the industry standard for stent crimping, balloon catheter pleating and folding, catheter braiding and medical device manufacturing applications. As a pioneer in radio frequency technology, the company has continued to develop advancing technology for thermal forming, molding and welding plastic for medical manufacturing, biopharmaceutical, and blood- and plasma-processing applications. Our experienced team of engineers has been instrumental in automating manual processes that enable our customers to increase production volumes and profit margins, and we believe in providing a superior customer experience by designating resources to a dedicated aftermarket team that is always ready to provide technical service and process support. Machine Solutions is privately owned by BW Forsyth Partners, a Barry-Wehmiller company.


 

BW Forsyth Partners is the investment arm of multibillion-dollar global manufacturing and engineering consulting firm Barry-Wehmiller. Established in 2009, BW Forsyth Partners blends Barry-Wehmiller's unparalleled legacy of value creation and people-centric culture development with keen investing experience to help companies realize their true potential. With a focus limited to areas known well, BW Forsyth Partners seeks to partner with leadership teams to acquire small- to middle-market companies in the capital and component equipment, and professional services sectors. In each of our operating companies, BW Forsyth Partners deploys operational improvements and strategy development without compromising the autonomy, strategic vision and entrepreneurial spirit of their leadership teams.


 

Job Description:

Position Summary

We are seeking Electrical Engineers across multiple levels (I-III) to support design, development, sustaining engineering, and manufacturing of electrical systems. This role ranges from entry-level engineers learning core competencies to senior engineers leading complex product improvements, RF system design, and cross-functional initiatives.

Core Responsibilities

Design, develop, test, and support electrical/electronic systems and components

Create and maintain schematics, PCB layouts, and electrical design documentation

Support RF-enabled systems, including troubleshooting and performance validation

Develop and execute test plans, fixtures, and validation protocols

Perform root cause analysis and implement corrective actions for production and field issues

Support sustaining engineering activities including component obsolescence and product updates

Collaborate with mechanical, software, manufacturing, and quality teams

Support embedded systems integration and debugging activities

Interface with external labs and vendors for certification and compliance testing

Ensure compliance with GMP, CAPA, and applicable industry standards (IEC, FCC, UL, EMC/EMI)

Drive continuous improvement in product quality, manufacturability, and cost

Contribute to or lead engineering change orders (ECR/ECO)

Advanced Responsibilities (Mid-Senior Levels)

Lead design, validation, and troubleshooting of complex electrical systems

Mentor and develop junior engineers and technicians

Lead cross-functional projects and sustaining engineering initiatives

Implement design for manufacturability (DFM) and testability (DFT) principles

Drive innovation and product enhancements across lifecycle stages

Support audits, quality investigations, and regulatory compliance initiatives

Qualifications

Bachelor's degree in Electrical Engineering or related field

2-7+ years of experience (level dependent)

Strong foundation in circuit design, PCB layout, and electronic testing

Experience with RF systems, analog/digital design, and power electronics preferred

Experience using design tools (e.g., Altium, OrCAD) preferred

Familiarity with embedded systems and control software preferred

Strong troubleshooting and problem-solving capabilities at component and system level

Knowledge of manufacturing environments and high-reliability products preferred

Understanding of compliance standards and testing requirements is a plus

Strong communication, documentation, and cross-functional collaboration skills

Level Differentiation

Junior (Level I-II)

Supports design, testing, and validation activities under guidance

Assists with troubleshooting and documentation

Builds foundational technical knowledge

Mid-Level (Level II)

Independently executes design, testing, and troubleshooting

Leads small projects and supports sustaining engineering efforts

Mentors junior engineers

Senior (Level III)

Serves as subject matter expert in electrical, RF, and control systems

Leads cross-functional initiatives and large-scale projects

Drives product improvements, innovation, and lifecycle strategy

Coaches, mentors, and develops engineering talent

Working Conditions

Office, laboratory, and production floor environments

Manual dexterity for handling components and equipment

Occasional lifting up to 50 lbs

Travel up to 10% as needed

#LI-SR1


 

At Barry-Wehmiller we recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. We know that our differences often can bring about innovation, excellence and meaningful work-therefore, people from all backgrounds are encouraged to apply to our positions. Please let us know if you require reasonable accommodations during the interview process.

Barry-Wehmiller is an equal opportunity employer. M/F/D/V This organization uses E-Verify.


 

Applicants may be subject to pre-employment screening which may include drug screening, reference checks, employment verifications, background screening and/or skills assessments.


Company:

Machine Solutions, Inc.