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Embedded Machine Learning Engineer Jobs in Dayton, OH

STR

Lead Software Engineer

Dayton, OH · On-site

$157K - $223K/yr

... machine learning algorithms, tracking/fusion, as well as real-time embedded processor ... The RAID Group is seeking a Lead Software Engineer with demonstrated expertise in GPU programming ...

STR

Lead Software Engineer

Dayton, OH · On-site

$157K - $223K/yr

... machine learning algorithms, tracking/fusion, as well as real-time embedded processor ... The RAID Group is seeking a Lead Software Engineer with demonstrated expertise in GPU programming ...

STR

Lead Software Engineer

Dayton, OH

$157K - $223K/yr

... machine learning algorithms, tracking/fusion, as well as real-time embedded processor ... The RAID Group is seeking a Lead Software Engineer with demonstrated expertise in GPU programming ...

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All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Dayton, OH

Embedded Machine Learning Engineer information

See Dayton, OH salary details

$68K

$149.1K

$169.1K

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

As of Sep 9, 2026, the average yearly pay for embedded machine learning engineer in Dayton, OH is $149,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,800.00 and $168,100.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as an embedded machine learning engineer?

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 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.

What are popular job titles related to Embedded Machine Learning Engineer jobs in Dayton, OH?

For Embedded Machine Learning Engineer jobs in Dayton, OH, the most frequently searched job titles are:

What job categories do people searching Embedded Machine Learning Engineer jobs in Dayton, OH look for?

The top searched job categories for Embedded Machine Learning Engineer jobs in Dayton, OH are:

What cities near Dayton, OH are hiring for Embedded Machine Learning Engineer jobs?

Cities near Dayton, OH with the most Embedded Machine Learning Engineer job openings:

Embedded Machine Learning Engineer jobs near you
Infographic showing various Embedded Machine Learning Engineer job openings in Dayton, OH as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $149,083 per year, or $71.7 per hour.

Electrical Hardware Engineer

Beavercreek, OH • On-site

D Angelo Technologies LLC
See more jobs at D Angelo Technologies LLCexternal

Full-time

Medical, Dental, Vision

Re-posted 18 days ago

Job description

Electrical/Hardware Engineer (Full Time)

Design, development, testing of electrical systems and subsystems

Location: Beavercreek, Ohio

If interested, please send your resume to: dangelo@dangelotechnologies.com

Applicant must be a US Citizen

Who we are: D’Angelo Technologies, LLC (D5T) is a rapidly-growing Woman Owned Small Business that specializes in engineering services and research and development (primarily for the Department of Defense). D5T has an exciting opportunity available for an electrical engineer to join our team. As a dynamic and growing small business, D5T is dedicated to supporting its DoD and commercial customers and providing the best technological solutions to meet their needs. D5T has a strong teaming relationship with many industry partners including large commercial businesses, other small businesses, and multiple universities.

Job Description: D5T is looking for an electrical engineer to join our team in Beavercreek, Ohio. This position is a dynamic and fast-paced opportunity that integrates many facets of engineering disciplines. In this position, you will have the opportunity to contribute to the design, development, and implementation of electrical systems including circuit designs, sensor selection and integration, aircraft wiring and avionics troubleshooting, and continuing research and development. Projects include finding solutions for DoD platform wiring electrical failure, integrating leading edge sensor(s), monitoring system health, developing medical devices, and offering electrical and electronic support to other teams.

As an electrical engineer at D5T, you will work with a multi-disciplinary team of engineers who are directly involved in the design, development, testing, and implementation of product-based solutions stemming from R&D efforts for government and commercial customers. An ideal candidate will also support the development of new business efforts in these areas.

Major Responsibilities / Job Duties:

• Work both independently and collaboratively to design, develop, and test new electrical/electronics systems including board design, wiring diagrams, and prototype assembly

• Develop bill of materials, cost analysis, tradeoff analyses

• Collaborate with engineering team for design reviews (optimization) • Demonstrate and field test at customer sites

• Present work to clients, internal teams, and subject matter experts (presentations and summary reports)

• Present project status at customer program reviews, submit summary reports, put together sprints to align with project deadlines, and support development of proposals for new business efforts

• Design, set up, and conduct experiments

• Analyze and document experiment results

• Design and test embedded software applications

• Use industry-standard best practices in the development cycle and work with customers to define specifications and requirements

• Lead team integration of hardware and software

• Work with the engineering team to define design constraints for project concepts

• Complete reports and presentations documenting findings

Candidate Skills and Experience: Required

• B.S. degree in electrical engineering with demonstrated work experience

• Familiarity with electronic test equipment (Vector Network Analyzer, Spectrum Analyzer, Oscilloscope)

• Experience with electronics development and prototyping, including printed circuit board design, low volume assembly, embedded systems programming, and testing

• Experience with analog and digital circuit design

• Knowledge and experience with hardware and software interface development

• Ability to perform work independently and meet deadlines

• Creative problem solving and attention to detail

• Strong communication skills and technical writing ability

• Knowledge of embedded communication protocols (e.g. CAN, UART, I 2 C and/or SPI)

• Machine Learning / Artificial Intelligence experience 

Desired:

• Master’s degree in electrical engineering

• Experience with application development and computer programming knowledge

• Experience designing printed circuit boards and signal processing circuits

• Experience with cable design, device physics, interconnects, and non-destructive testing

Applicant must be a US Citizen