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Embedded Machine Learning Jobs in Columbus, OH (NOW HIRING)

Actalent

Computer Vision Engineer

Marysville, OH

$102.40K - $120.80K/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.

The Ohio State University

Post Doctoral Scholar

Columbus, OH · On-site

$44.60K - $60.60K/yr

Familiarity with signal processing, embedded systems, or machine learning; Experience with hardware-software co-design and system integration; Prior experience mentoring undergraduate or graduate ...

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$67.6K

$148.2K

$168.1K

How much do embedded machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for embedded machine learning in Columbus, OH is $148,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $167,100.00 per year, depending on experience, location, and employer.

What is an Embedded Machine Learning job?

An Embedded Machine Learning job involves developing and optimizing machine learning models to run efficiently on resource-constrained devices like microcontrollers, edge devices, and IoT hardware. Professionals in this role work on model compression, low-power inference, and real-time processing, ensuring AI capabilities can function without relying on cloud computing. Responsibilities often include data preprocessing, feature extraction, model training, and deployment on embedded systems using frameworks like TensorFlow Lite or Edge Impulse.

What are the key skills and qualifications needed to thrive in the Embedded Machine Learning position, and why are they important?

To thrive in Embedded Machine Learning, you should have expertise in machine learning algorithms, embedded systems programming (e.g., C/C++, Python), and a solid understanding of hardware-software integration, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with edge AI tools (such as TensorFlow Lite, ONNX, or Edge Impulse), microcontrollers, and real-time operating systems is highly valued, alongside relevant certifications such as Embedded Systems or AI certificates. Strong problem-solving skills, effective communication, and the ability to work cross-functionally are crucial soft skills in this field. These qualifications and qualities are vital for creating efficient, reliable AI solutions that operate seamlessly within resource-constrained environments and interdisciplinary project teams.

What are some common challenges faced by professionals working in embedded machine learning roles?

Professionals in embedded machine learning roles often face the challenge of optimizing machine learning models to run efficiently on resource-constrained hardware, such as microcontrollers or edge devices with limited memory and processing power. Balancing model accuracy, inference speed, and energy consumption can require creative problem-solving and deep knowledge of both hardware and software. Additionally, collaboration with hardware engineers, data scientists, and software developers is key, as projects typically require cross-functional teamwork to meet performance and deployment goals. Staying current with rapidly evolving tools and best practices is also important in this dynamic field.
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Embedded Machine Learning jobs near you
PLC Automation Engineer

PLC Automation Engineer

ALTEN Technology USA

Raymond, OH • On-site

Other

Posted 9 days ago

Job description

Job Description:

  • Digital Manufacturing Unit, IoT Solutions Development group was created to survey Client 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 Client 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.
  • Analyse 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

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