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Embedded Machine Learning Jobs in Ohio (NOW HIRING)

... machine learning algorithms, systems analysis, and real-time embedded processor implementation. The Algorithms, Processing and Experimentation (APEX) Group specializes in development of RF/radar ...

... machine learning algorithms, systems analysis, and real-time embedded processor implementation. The Algorithms, Processing and Experimentation (APEX) Group specializes in development of RF/radar ...

... embedded in delivery and accountable for outcomes. * Build scalable, data-driven tools and analytics solutions that address real client challenges. * Apply optimization, forecasting, machine learning ...

... embedded in delivery and accountable for outcomes. * Build scalable, data-driven tools and analytics solutions that address real client challenges. * Apply optimization, forecasting, machine learning ...

Embedded directly with operational leaders, the Applied AI Engineer translates real-world business ... Success requires equal fluency in modern AI tooling (including machine learning, NLP, and ...

Embedded directly with operational leaders, the Applied AI Engineer translates real-world business ... Success requires equal fluency in modern AI tooling (including machine learning, NLP, and ...

Embedded directly with operational leaders, the Applied AI Engineer translates real-world business ... Success requires equal fluency in modern AI tooling (including machine learning, NLP, and ...

Embedded directly with operational leaders, the Applied AI Engineer translates real-world business ... Success requires equal fluency in modern AI tooling (including machine learning, NLP, and ...

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Embedded Machine Learning information

See Ohio salary details

$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.
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 cities in Ohio are hiring for Embedded Machine Learning jobs? Cities in Ohio with the most Embedded Machine Learning job openings:
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.
Principal Signal Processing Researcher

Principal Signal Processing Researcher

STR

Dayton, OH โ€ข On-site

$206K - $284K/yr

Full-time

Posted 21 days ago


Job description

About the Team:
The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security requirements. Our particular focus areas include airborne/spaceborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. To support these missions, the Division's efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, systems analysis, and real-time embedded processor implementation.
The Algorithms, Processing and Experimentation (APEX) Group specializes in development of RF/radar modes, skills and applications, with particular emphasis on advanced signal processing chains and associated algorithm research. We mature these technologies with the objective of implementation, integration, and eventual utility in RF-based systems, typically tailoring our work for highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence Community needs.
About the Role:
As a Principal Signal Processing Researcher, you will create and lead technical teams that develop, test, integrate, and demonstrate novel signal processing, optimization, and machine learning algorithms for advanced electronic warfare and sensor applications.
A successful candidate will have demonstrated leadership skills and substantial expertise in several of the following areas: optimization, electronic warfare, adaptive signal processing, machine learning, algorithm development, algorithm integration, test & evaluation, model & simulation, systems engineering, radar systems, or communications systems. This position requires skills working as part of and leading multi-disciplinary teams designing, analyzing, integrating, and demonstrating signal processing algorithms for complex systems.
What you will do:
  • Develop electronic warfare and radar system concepts, signal processing and machine learning algorithms, and RF solutions to remote sensing challenges
  • Provide technical leadership to small, multi-disciplinary teams that develop, implement, test, and integrate novel sensing, electronic warfare, and signal processing systems
  • Direct Modeling and Simulation activities of advanced RF systems in support of algorithm development, test, and integration
  • Plan and support algorithm test and evaluation activities, including performance assessment in laboratory and field environments
  • Clearly communicate with customers, stakeholders, sponsors, prime- and subcontractors

Who you are:
  • Active Security Clearance, with eligibility to support special access programs, for which US Citizenship is required by the US government
  • PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline with 8-10+ years of relevant experience depending on degree
  • Strong scientific programming skills including Matlab, Python, Simulink and/or C/C++
  • Strong communication skills and the ability to describe complex technical concepts to fellow researchers as well as to non-technical people
  • Ability to translate customer requirements to determine research focus
  • Ability to create and present deep technical briefings as well as high-level briefings to Customers and senior management
  • Experience with designing, implementing, testing, and analyzing ML/AI algorithms
  • Strong understanding of radar architectures, waveforms, modes, and RF signal chains

Even Better:
  • Current TS/SSBI with SCI and ability to gain and hold SCI/SAP accreditations
  • Experience with advanced RF system concepts, signal processing, open architectures, and systems integration
  • Experience in Software Development
  • Ability to survey literature to determine state-of-the-art, incorporate recent research, and transition it into integrated, tested solutions
  • Understanding and experience interacting with decision-makers and customers to translate mission needs into an end-to-end, integrated analytical solution

Pay Information
Full-Time Salary Range: $206,000 - $284,000
The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.
STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.
STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer.
STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info.
STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.
If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info.
Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.