ZipRecruiter

Log In

1

Embedded Machine Learning Jobs in Ohio (NOW HIRING)

Vertiv Co

Advanced Controls Engineer

Westerville, OH

$80K - $104K/yr

Demonstrated expertise in system validation for controls platforms (embedded, automation, software ... Machine learning and artificial intelligence technologies Travel: Willingness to travel up to 10% ...

Vertiv Group Corp.

Advanced Controls Engineer

Westerville, OH · On-site

$80K - $104K/yr

Demonstrated expertise in system validation for controls platforms (embedded, automation, software ... Machine learning and artificial intelligence technologies Travel: Willingness to travel up to 10% ...

Cytel

Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right ... machine learning & deep learning algorithms to discover actionable insights and automate process ...

Matrix Research, Inc.

Digital Design Engineer

Dayton, OH · On-site

$129K/yr

Preferred capabilities include digital and/or RF circuit design, embedded microcontroller and Linux ... machine learning, hardware development, and software engineering.We support our employees with ...

Socket.dev

Senior Software Engineer

Dayton, OH · On-site

$134 - $184/hr

By leveraging expertise in machine learning, algorithms, model-predictive control, and software ... Experience programming for embedded and physical devices * Multi-agent coordination of UxVs

New

previous page

Showing results 41-60

All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Jobs in Ohio

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 Aug 10, 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 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 is an embedded machine learning?

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 embedded machine learning?

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 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 July 2026, with employment types broken down into 5% Internship, 85% Full Time, and 10% Contract. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $145,821 per year, or $70.1 per hour.

Autonomy Algorithms Senior Software Engineer

STR

Dayton, OH • On-site, Remote

$134K - $184K/yr

Full-time

Posted 10 days ago

Job description

About the Team: 

STR's Analytics & C2 Division develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation in order to improve mission success. 

The Collaborative Autonomy and Control (CAC) Group in the AC2 Division works to build software systems that solve critical problems in the areas of uncrewed system autonomy, multi-agent collaboration, resource management, and control. By leveraging expertise in machine learning, algorithms, model-predictive control, and software development, we build tools that support tactical mission planning and execution, autonomous reasoning, and more. 

The Role: 

As an Autonomy Algorithms Senior Software Engineer, you will work as part of a tightly knit team to design, develop, implement, integrate, test, and demonstrate advanced algorithms and software systems for autonomous platforms. You will provide technical leadership and mentoring on programs working throughout the software and system development lifecycle, from early prototypes to integrated systems. Your work will develop a diverse set of software tools and applications for mission planning systems, automated control processes, unmanned platforms, DevSecOps, and CI/CD pipelines. This position is based in Woburn, MA, Arlington, VA, or Dayton, OH, and will take advantage of STR's flexible, hybrid environment - when the work does not require use of STR's facilities, you are welcome to work remotely.  

Who You Are: 

  • Ability to obtain a security clearance, for which U.S Citizenship is needed by the U.S government
  • BS in Computer Science or related technical field with 5+ years of experience
  • 3+ years of experience with C++ or Java
  • Full stack development experience but with a heavy focus on backend algorithmic development
  • Proven understanding of data structures, algorithms, concurrency, and code optimization of backend executables
  • Proven ability to develop, implement, integrate, and test autonomy algorithms and software
  • Not interested in Front end UI/UX or database management/interaction
  • Proven ability to work with research scientists to transition complex mathematical algorithmic concepts to software application
  • Proven ability to proactively assume leadership within modest size engineering teams (2-4 engineers) through complete Agile development lifecycle including task definition, delegation, and maintenance
  • Demonstrated success executing industry best practices in areas such as code review, unit testing, test coverage, static analysis, etc., to ensure mature, high quality software products
  • Experience in supporting system/software architecture design at the system and system of systems (SoS) levels
  • Experience utilizing the following: 
    • Object-Oriented Programming principles for large scale systems
    • Agile software lifecycle methodologies and tools, such as JIRA, Confluence, Gitlab, static analysis, etc
    • Test-driven development methodologies 
  • A demonstrated ability to adopt new languages, libraries, and technologies 

Even Better: 

  • MS or PhD in Computer Science or related technical field
  • Experience with the following:  
    • Collection Orchestration
    • Satellite Constellation Management
    • Containerization and service based architectures
    • Coordinating Electronic Warfare resources
    • Reinforcement learning
    • Agentic AI
    • Experience programming for embedded and physical devices
    • Multi-agent coordination of UxVs
    • MAVLINK or other C2 protocols
    • ROS TAK
    • DevSecOps and CI/CD tool chains
    • Constraint satisfaction algorithms 
    • Knowledge representation/ontologies
    • Python 
  • Active Security Clearance 

Pay Information 

Full-Time Salary Range: $134,000 - $184,000 

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. 

Apply