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Embedded Machine Learning Jobs Near Me

Zobility

Computer Vision Engineer

Raymond, OH · On-site

$108K - $127K/yr

... embedded systems, machine learning and/or data engineering with a focus on the automotive industry. • Bachelor's degree in engineering or engineering-related areas: electrical, controls, systems ...

New

Actalent

Computer Vision Engineer

Marysville, OH · On-site

$102K - $120K/yr

At least 2 years of experience in manufacturing equipment controls, network design, embedded systems, machine learning, and/or data engineering, preferably with a focus on the automotive industry.

New

Vertiv Co

Principal AI Engineer

Delaware, OH · On-site

... machine learning, embedded systems and advanced analytics. * Strong proficiency in: * Python, ML frameworks (TensorFlow, PyTorch, scikitlearn) * Data engineering and MLOps tools * Model validation ...

Battelle

Software Engineer

Columbus, OH · On-site

Exposure to machine learning or deep learning frameworks (e.g., TensorFlow or PyTorch) for perception or data driven analysis in embedded or robotics style systems. * Experience developing Python ...

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How much do embedded machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for embedded machine learning in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.
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Embedded Machine Learning jobs near you
A map of the United States highlighting the number of Embedded Machine Learning job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Embedded Machine Learning job openings in each state, with California having the most at 2 and Hawaii the least at 0.
Computer Vision Engineer

Computer Vision Engineer

Zobility

Raymond, OH • On-site

$108K - $127K/yr

Full-time

Posted 2 days ago

Job description

Job Summary:
Zobility is a workforce management and staffing division of RGBSI, a multi-national corporation. They are seeking a Computer Vision Engineer to develop and implement digital technology solutions that improve manufacturing efficiency and quality.
Responsibilities:
• 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.
• 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:
Required:
• 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.
• 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.
• Bachelor's degree in engineering or engineering-related areas: electrical, controls, systems, computer science, data science or equivalent experience.
Company:
Zobility is a talent management and workforce solutions company that provides staffing and technical workforce services. Founded in , the company is headquartered in Troy, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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