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Embedded Machine Learning Internship Jobs in Tennessee

Denso

Process Engineer 3

Maryville, TN · On-site

Utilizes advanced machine learning and computer vision techniques to enhance production quality ... Familiarity with real-time operating systems and embedded systems * Knowledge of production ...

Crowe LLP

Senior AI Engineer

Nashville, TN · On-site +1

$100K - $138K/yr

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

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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

Process Engineer 3

Denso

Maryville, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

DENSO rating

7.5

Company rating: 7.5 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description


Job Summary:
Under limited supervision, designs, develops, and deploys AI-based vision systems to improve manufacturing and assembly processes across North America. Utilizes advanced machine learning and computer vision techniques to enhance production quality, robustness, and efficiency. Collaborates closely with a cross-functional Manufacturing affiliate network through the AI Vision Inspection Council, serving as a technical contributor and subject-matter expert to identify, test, validate, and standardize AI vision technologies. Supports capability development within Manufacturing affiliates through structured training, knowledge transfer, and implementation guidance. Self-starter capable of managing multiple initiatives with minimal direction while coordinating regionally aligned AI vision strategies.
Essential Duties and Responsibilities:
  1. System Development:
    1. Design, develop, and deploy AI-based vision systems for manufacturing and automation applications.
    2. Collaborate with mechanical, electrical, and software engineering teams to integrate vision systems into existing and new automation equipment.
    3. Support AI Vision Inspection Council activities by assessing technology readiness and applicability across NA Manufacturing environment.
  2. Implementation and Testing
    1. Develop algorithms for object detection, classification, and defect recognition.
    2. Test and validate AI vision systems in collaboration with Manufacturing affiliates to ensure accuracy, robustness, and production readiness.
    3. Support structured pilot deployments and document results to inform broader NA implementation decisions.
  3. Optimization and Sustainment
    1. Monitor deployed AI vision systems and support continuous performance optimization.
    2. Provide technical guidance for troubleshooting and long-term sustainment within Manufacturing affiliates.
    3. Support upgrades and evolution of vision systems as a part of standardized NA roadmaps.
  4. Road-mapping and Coordination
    1. Develop and manage AI vision implementation maps and roadmaps in coordination with the AI Vision Inspection Council.
    2. Align technical solutions with Manufacturing affiliate readiness, resources, and strategic priorities.
    3. Document standards, validation results, and deployment guidance for reuse across the NA region.
  5. Collaboration, Traning, and Knowledge Transfer
    1. Work closely with Automation, Quality, IT/Digital, and Manufacturing affiliate teams.
    2. Develop and deliver technical training materials, workshops, and on-the-job support for Manufacturing affiliate engineers.
    3. Enable Manufacturing affiliates to independently deploy, operate, and sustain AI vision inspection systems.

Minimum Level of Education and Training Required:
  • Requires a Bachelor's degree in Electrical or Mechanical engineering, Computer Science, Robotics, or related field and 3 or more years of relevant experience.
  • Proven experience in developing and deploying AI-based vision systems in an industrial or manufacturing setting.
  • Strong background in machine learning, computer vision, and image processing techniques.
  • Experience with machine vision hardware and software tools (e.g., cameras, lighting, VisionPro, OpenCV, TensorFlow, PyTorch).

Minimum Level of Knowledge and Skills Required:
  • Proficient in programming languages such as Python, C++, or similar.
  • Knowledge of deep learning frameworks and tools for vision applications.
  • Strong problem-solving skills and attention to detail.
  • Excellent project management and organizational skills.
  • Effective communication and teamwork abilities.

Preferred Qualifications:
  • Experience with industrial automation and robotics
  • Familiarity with real-time operating systems and embedded systems
  • Knowledge of production processes and quality control methodologies
  • Experience supporting cross-functional governance bodies, councils, or communities of practice within a manufacturing or automation environment.

Physical Requirements and Work Environment:
Visual requirements include color, depth perception and field of vision. Physical requirements include standing, walking, pushing, pulling, lifting, talking, hearing and repetitive motions. Position work environment is typically indoors in pleasant, well-lighted area with comfortable temperatures and in a controlled environment where no significant amounts of dust, fumes or odors. Unavoidable accidents and health hazards are unlikely.
Benefits Summary:
  • Medical, Dental, Vision, Prescription Drug Plans
  • 401K with 4% Company Match
  • Vacation/PTO and 13 Paid Holidays
  • Bonus Program
  • FSA/HSA and Dependent Care Programs
  • Company provided Life, Disability, ADD, and Business Travel Insurance
  • Various No Cost Wellness & Chronic Condition Management Programs
  • Various Optional Insurance Programs such as Legal, Identity Theft, Critical Illness, etc.
  • Tuition Reimbursement
  • Career Development and Ongoing Training
  • Employee Assistance Program
  • Employee Spotlight and Recognition Program
  • Volunteer opportunities
  • Onsite Fitness Center (vary by location)
  • Cafeteria and food markets (vary by location)
  • Onsite Health Clinic and Pharmacy (vary by location)

Candidates residing 50+ miles from the work location are eligible for relocation assistance.
Annual Salary: $96,400 - $120,400

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