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Full Time Audio Machine Learning Jobs Near Me

LER TechForce LLC

Computer Vision Engineer

Raymond, OH · On-site

$108K - $127K/yr

Support analytical processes, like machine learning in use within proof-of-technology concepts to ... Experience with vibration, audio, or current signature analysis What you'll get: * Full benefits ...

LER TechForce

Computer Vision Engineer

Raymond, OH · On-site

$108K - $127K/yr

Support analytical processes, like machine learning in use within proof-of-technology concepts to ... Experience with vibration, audio, or current signature analysis What You'll Get * Full benefits ...

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How much do full time audio machine learning jobs pay per year?

As of Jun 26, 2026, the average yearly pay for full time audio machine learning in the United States is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $113,000.00 per year, depending on experience, location, and employer.
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Full Time Audio Machine Learning jobs near you
A map of the United States highlighting the number of Full Time Audio Machine Learning job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Full Time Audio Machine Learning job openings in each state, with California having the most at 2 and Hawaii the least at 0.

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

Thomas & Reed, LLC

Columbus, OH

Contractor

Posted 7 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