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Senior Full Stack Machine Learning Engineer Jobs in Dayton, OH

ClifyX is a company that specializes in AI solutions, and they are seeking a Machine Learning Engineer. The role involves designing advanced ML models, managing MLOps pipelines, and collaborating ...

Machine Learning Engineer

Beavercreek, OH · On-site

$51.75 - $68.50/hr

Etegent is seeking Machine Learning Engineers (MLEs) to work with our Intelligence, Surveillance ... Senior-level candidates should also demonstrate: * Experience building and maintaining successful ...

Full Stack Engineer Position Type: Full-time, On-site Location: Dayton, OH Clearance: Active Top Secret with SCI eligibility Job Summary The Full Stack Software Engineer will support by performing ...

New

Full Stack Engineer Position Type: Full-time, On-site Location: Dayton, OH Clearance: Active Top Secret with SCI eligibility Job Summary The Full Stack Software Engineer will support by performing ...

New

Join our team as a Full Stack Engineer and be the hands-on technical owner for modern, data-aware applications ( including AI-powered features ) in a Microsoft/Azure environment. You'll set ...

We are seeking a mid-level software engineer to build secure, scalable REST services and modern UI ... Design, develop, and test full-stack features using Java (REST APIs) and Angular (UI) * Build and ...

Full Stack Developer As a Full Stack Developer at Cryptic Vector, you'll design, build, and develop full-spectrum software solutions that directly address some of the most complex technical ...

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Showing results 1-20

Senior Full Stack Machine Learning Engineer information

See Dayton, OH salary details

$43.3K

$131K

$185.2K

How much do senior full stack machine learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior full stack machine learning engineer in Dayton, OH is $130,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $153,600.00 per year, depending on experience, location, and employer.

What is the difference between Senior Full Stack Machine Learning Engineer vs Data Scientist?

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

What cities near Dayton, OH are hiring for Senior Full Stack Machine Learning Engineer jobs?

Cities near Dayton, OH with the most Senior Full Stack Machine Learning Engineer job openings:

Machine Learning Engineer

Radiance Technologies

Beavercreek, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 10 days ago


Job description

Radiance is seeking a Machine Learning Engineer who will advance the artificial intelligence capabilities of the National Air and Space Intelligence Center at Wright Patterson Air Force Base. This engineer will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and develop machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection. Additionally, this position will improve upon current methods for the automated processing and exploitation of large data sets. This will include R&D on projects involving the exploitation of data from sensors including investigation of state-of-the-art machine learning classification methods to detect, track, and characterize targets of interest.
Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, interesting assignments, educational reimbursement, competitive salaries and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.
Required Experience:
  • A working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
  • Experience in applying core Machine Learning methodologies: Regression, Classification, Clustering, Decision Trees, Dimensional Reduction, Neural Networks & Deep Learning, Feature Engineering

Required Skills & Qualifications:
  • Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, Statistics, or a related field
  • Strong programming skills in at least one of the following languages Python, Matlab, C++
  • Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras
  • Active Secret Clearance with ability to obtain and maintain a TS/SCI

Desired Skills:
  • ML for either natural language processing, computer vision, reinforcement learning, generative modeling, or equivalent experience
  • PhD in data science, mathematics, statistics, computer science, a physical science or engineering is strongly desired
  • A mathematical background (Probability and Statistics)
  • An experienced grasp of version control using Git for nonlinear workflows
  • Thorough understanding of working in research, development and production environments
  • Background in image science, imagery exploitation, spatial analysis, and computer vision are a plus
  • R&D on remotely sensed data to include modeling and development of algorithms.
  • Ability to work independently or in a team environment
  • Strong technical writing and oral communication skills
  • Active Top Secret/SCI clearance

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.