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Embedded Machine Learning Internship Jobs in Tennessee

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This is not a traditional internship. You'll own a research problem end-to-end: framing the ... Strong foundations in modern machine learning, including deep learning, optimization ...

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This is not a traditional internship. You'll own a research problem end-to-end: framing the ... Strong foundations in modern machine learning, including deep learning, optimization ...

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This is not a traditional internship. You'll own a research problem end-to-end: framing the ... Strong foundations in modern machine learning, including deep learning, optimization ...

Type One Energy

Real-Time Engineer

Knoxville, TN · On-site

Experience deploying machine learning algorithms in real-time or embedded environments. * Familiarity with high-availability architectures. We offer : In addition to a basic salary and yearly bonus ...

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Embedded Machine Learning Internship information

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 the most commonly searched types of Embedded Machine Learning jobs in Tennessee?

The most popular types of Embedded Machine Learning jobs in Tennessee are:

What are popular job titles related to Embedded Machine Learning Internship jobs in Tennessee?

For Embedded Machine Learning Internship jobs in Tennessee, the most frequently searched job titles are:

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The top searched job categories for Embedded Machine Learning Internship jobs in Tennessee are:

What cities in Tennessee are hiring for Embedded Machine Learning Internship jobs?

Cities in Tennessee with the most Embedded Machine Learning Internship job openings:

Embedded Machine Learning Internship jobs near you

Software Engineer (Firmware Experience) - Knoxville, Tennessee

Knoxville, TN • On-site

MissionHires
See more jobs at MissionHiresexternal

$80 - $100/hr

Other

Posted 21 days ago

Job description

MissionHires is partnering with a highly regarded corporation in the greater Knoxville area to hire a Software Engineer with strong embedded firmware experience. In this R&D-focused role, you’ll design and develop control firmware and embedded systems for sophisticated electromechanical equipment, collaborating closely with cross‑functional engineers to support both legacy products and new product development. Ideal candidates bring hands‑on C firmware expertise for embedded devices, strong communication skills, and exposure to areas like computer vision, machine learning, C#/.NET, Linux, and cloud/web technologies.

Responsibilities
  • Design, implement, and optimize control firmware for embedded systems in C
  • Collaborate with R&D and cross‑functional engineering teams on new product development and legacy product support
  • Integrate firmware with electromechanical control systems, controllers, and data generators
  • Contribute to system architecture, hardware–software interfaces, and real‑time control strategies
  • Troubleshoot, debug, and resolve issues at the firmware, driver, and system levels
  • Develop test plans, perform validation/verification, and document designs and changes
  • Support instrument technology development and machinery control features end to end
  • Explore and, where applicable, integrate computer vision and machine learning applications
  • Interface with Windows (.NET/C#), Linux, and web/cloud components as needed
  • Communicate status, risks, and technical findings clearly to stakeholders
Requirements
  • BS in Computer Engineering, Electrical Engineering, or related technical field
  • 5+ years of professional experience developing firmware for embedded systems and devices
  • Strong proficiency in C for embedded firmware and real‑time control
  • Experience working with electromechanical control systems, controllers, and data generators
  • Proven ability to support both legacy systems and new product development cycles
  • Excellent written and verbal communication skills, with close collaboration in R&D environments
  • Hands‑on debugging, testing, and validation experience at the device and system level
  • Nice to have: Experience with computer vision and/or machine learning applications
  • Nice to have: Knowledge of C# (.NET) for Windows, Linux development, and web/cloud technologies
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