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$66.5K

$145.8K

$165.4K

How much do embedded machine learning jobs pay per year?

As of Jun 4, 2026, the average yearly pay for embedded machine learning in Ohio is $145,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $164,500.00 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.
More about Embedded Machine Learning jobs
What are the most commonly searched types of Embedded Machine Learning jobs in Ohio? The most popular types of Embedded Machine Learning jobs in Ohio are:
What are popular job titles related to Embedded Machine Learning jobs in Ohio? For Embedded Machine Learning jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning jobs in Ohio look for? The top searched job categories for Embedded Machine Learning jobs in Ohio are:
What cities in Ohio are hiring for Embedded Machine Learning jobs? Cities in Ohio with the most Embedded Machine Learning job openings:
Embedded Machine Learning jobs near you
Infographic showing various Embedded Machine Learning job openings in Ohio as of May 2026, with employment types broken down into 1% Locum Tenens, 3% Internship, 64% Full Time, 30% Part Time, 1% Temporary, and 1% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $145,821 per year, or $70.1 per hour.

Embedded AI Engineering Intern - On-Device ML (Remote)

Nerdleveltech

New Bremen, OH • On-site, Remote

$17.50 - $22.50/hr

Contractor, Internship

This job post has expired today. Applications are no longer accepted.

Job description

Bosch is seeking an intern for a 6-month position focused on machine learning and embedded systems. The role involves developing deep-learning architectures, designing ML algorithms, and deploying them on devices. Candidates should be pursuing a master's degree in relevant fields and have strong skills in Python and C.

The role offers flexibility to work from home in Germany. Candidates should also have a good command of English and a passion for AI. Diversity and inclusion are valued at Bosch.

Apply with your CV and relevant documents. #J-18808-Ljbffr

Apply