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Embedded Machine Learning Internship Jobs in Cleveland, OH

IC Automation

Mechanical Engineer

Solon, OH

... machine design experience (entry-level candidates with strong internships considered ... Adaptability * Continuous learning Performance Expectations * Deliver high-quality mechanical ...

IC Automation

Mechanical Engineer

Solon, OH · On-site

... machine design experience (entry-level candidates with strong internships considered ... Adaptability * Continuous learning Performance Expectations * Deliver high-quality mechanical ...

OGS Industries

Estimating Engineer Co-Op

Akron, OH · On-site

Gather and analyze process steps, labor content, machine cycle times, setup times, and material ... Prior internship, co-op, shop, or manufacturing experience is a plus. Learning Opportunities * Gain ...

New

BWXT

(DOD Skillbridge) Quality Intern

Euclid, OH · On-site

Internship will be 4 - 20 weeks long and can only commence within 180 days before leaving active ... Familiarity with manufacturing processes such as machining - milling, turning, grinding, and ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Cleveland, OH

Embedded Machine Learning Internship information

See Cleveland, OH salary details

$24.7K

$41.3K

$85.3K

How much do embedded machine learning internship jobs pay per year?

As of Jul 17, 2026, the average yearly pay for embedded machine learning internship in Cleveland, OH is $41,299.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 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.
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Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Cleveland, OH as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $41,299 per year, or $19.9 per hour.
Mechanical Engineer

Mechanical Engineer

IC Automation

Solon, OH

Full-time

Posted 14 days ago

Job description

Position Summary

The Mechanical Engineer is responsible for designing, developing, and supporting custom automation equipment, robotic systems, and manufacturing machinery from concept through installation. This position works closely with controls engineers, electrical technicians, project managers, manufacturing, and customers to deliver innovative, reliable, and cost-effective automation solutions.

The ideal candidate is hands-on, detail-oriented, and enjoys solving challenging manufacturing problems while working in a fast-paced project environment.

Primary Responsibilities
  • Design custom automation equipment and robotic systems using 3D CAD software.
  • Develop complete machine layouts, assemblies, and manufacturing drawings.
  • Design robotic cells, machine tending systems, conveyors, material handling systems, fixtures, end-of-arm tooling (EOAT), safety guarding, structural weldments.
  • Perform tolerance stack-up and mechanical calculations.
  • Review customer specifications and support project estimating.
  • Coordinate engineering activities with project managers.
  • Release manufacturing drawings and Bills of Materials (BOMs).
  • Support procurement, fabrication, assembly, debug, and machine runoff.
  • Participate in customer design reviews, FATs, SATs, installations, and commissioning.
  • Develop engineering standards and continuously improve design practices.
Required Qualifications
  • Bachelor's Degree in Mechanical Engineering or Mechanical Engineering Technology.
  • 2-10+ years of machine design experience (entry-level candidates with strong internships considered).
  • Proficiency with Inventor, SolidWorks or similar 3D CAD software.
  • Knowledge of pneumatics, bearings, gearboxes, servo applications, linear motion systems, and structural design.
  • Strong communication, organization, and problem-solving skills.
Preferred Qualifications
  • Experience with FANUC, ABB, or collaborative robots.
  • Experience designing EOAT, conveyors, fixtures, machine tending systems, and automation equipment.
  • Knowledge of GD&T, machine safety standards, PDM systems, and FEA or motion simulation.
Key Competencies
  • Mechanical aptitude
  • Creative problem solving
  • Attention to detail
  • Initiative
  • Team collaboration
  • Customer focus
  • Time management
  • Adaptability
  • Continuous learning
Performance Expectations
  • Deliver high-quality mechanical designs on schedule.
  • Produce accurate manufacturing documentation.
  • Collaborate effectively with engineering and manufacturing teams.
  • Design reliable, serviceable, and cost-effective automation systems.
  • Support startup and customer acceptance activities.
  • Contribute to continuous improvement while demonstrating Integrity, Innovation, Commitment, and Teamwork.
Employment Type: FULL_TIME

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