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Embedded Machine Learning Internship Jobs in Indiana

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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.
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Embedded Machine Learning Internship jobs near you

Vision Systems Engineer - Raymond, Ohio (on-site only)

Thomas & Reed, LLC

Carmel, IN

Contractor

Posted 29 days ago

Job description

Vision Systems Engineer
Location: ADC Raymond, OH
Contract to Hire
Duration: 12 month + conversion/extension

Description:

The HDMA Digital Innovation Division, Digital Manufacturing Unit, IoT Solutions Development group was created to survey Honda’s manufacturing business and develop strategy for prioritized development of digital solutions that enable improved production efficiency, quality, and safety for a sustainable future.
The IoT Solutions Engineer is engaging with NA regional plant floor customers to identify opportunities to develop and test technology/concepts and prove the ability to deliver reliable value to our customer. Ideal candidate for this role has a creator mindset, is excited to maintain awareness of digital technology developments, and then develop new, reliable solutions that enable Honda competitiveness, while also being risk averse.

• Development of new digital technology solutions such as vision inspection systems, AI and M/L analysis of machine/sensor data.
• Analyze user/customer needs along with manufacturing problems and align them with product/technology opportunities.
• Contribute to and execution of IoT strategy and roadmap for selected areas.
• Monitor developments of new technologies for IoT potential in future projects
• Support analytical processes, like machine learning in use within proof-of-technology concepts to deployed IoT projects.


QUALIFICATIONS, EXPERIENCE, & SKILLS

Minimum Educational Qualifications: Bachelor’s degree in engineering or engineering-related areas: electrical, controls, systems, computer science, data science or equivalent experience

Minimum Experience: 2+ years’ experience in manufacturing equipment controls, network design, embedded systems, machine learning and/or data engineering with a focus on the automotive industry

Other Job-Specific Skills:
-Understanding, extraction and interpretation of parameter data in a machine that represents the health of the machine components, proper operation, and effects on product quality.
-Knowledge of manufacturing equipment controls and logic – preferably in at least one of Mitsubishi, Rockwell, Siemens, or Omron PLCs.
-Understanding of computer vision algorithms such as segmentation, morphology, pose estimation, camera calibration, image enhancement, feature extraction, classification, 3D Vision and deep learning techniques.
-Experience implementing vision algorithms in C++, Python, HALCON, Matrox, Cognex, and/or Keyence, using traditional rules and/or deep learning.
-Experience with vibration, audio, or current signature analysis

Interested candidates please contact Sue HUettl at shuettl@trllc-cpa.com