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Embedded Machine Learning Engineer Jobs in Botkins, OH

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Embedded Machine Learning Engineer information

See Botkins, OH salary details

$64.8K

$141.9K

$161K

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

As of May 30, 2026, the average yearly pay for embedded machine learning engineer in Botkins, OH is $141,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,700.00 and $160,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Embedded Machine Learning Engineer, and why are they important?

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What are some common challenges faced by Embedded Machine Learning Engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What does an Embedded Machine Learning Engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

Embedded Machine Learning Engineer jobs near you
Manufacturing Student Intern: Electrical - Summer 2026

Manufacturing Student Intern: Electrical - Summer 2026

Nidec Minster Corporation

Minster, OH • On-site

$20.50 - $27/hr

Other

Posted 10 days ago

Job description

Manufacturing Student Intern: Electrical
Job Summary
Nidec Minster is seeking motivated and driven individual(s) looking to join our Nidec Minster team as a part-time Manufacturing Student Intern: Electrical. This position is a temporary, part-time position involving various classroom and hands-on learning experiences that prepare interns for a career in an advanced manufacturing field. Career opportunities at Nidec Minster include positions Electrical Engineering or Electrical Technician.
Job Responsibilities:
- Support Electrical Technicians and Electrical Engineers with electrical and electronics work as required on machinery & ancillary equipment such as pulling, labeling, and terminating wires.
- Assist with troubleshooting a variety of machines and ancillary equipment.
- Other duties assigned.
Job Qualifications:
- Must be a student in good academic standing
- Minimum GPA: 2.5
- Minimum age at time of initial application: 16
- Minimum attendance: 93% (subject to exceptions like illness, tragedy, etc.)
- Non-Career Center High School Students: Enrolled in a technical program such as machining, STEM, robotics, or another mechanical/electromechanical field, or possessing skills in diesel, automotive, or agricultural work
- Career Center High School Students: Enrolled in programs such as machining, engineering technology, industrial power/mechanics, or electrical studies
- Eligible for day work release
- Must have reliable transportation to and from Nidec Minster
Nidec Minster will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship for work authorization now or in the future, are not eligible for hire. No agency calls.
An equal opportunity/affirmative action employer, M/F/D/V

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