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Machine Learning Jobs in Dayton, OH (NOW HIRING)

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Develop and integrate machine learning workflows - including training data preparation, model integration, and evaluation - into operational toolsets. * Create clear software architecture ...

Resonetics

AI Automation Engineering Co-Op

Dayton, OH

$22 - $24/hr

This role blends software engineering, machine learning, and process automation to solve real-world engineering challenges. Join Resonetics and be part of a team that's redefining medical device ...

Resonetics

AI Automation Engineering Co-Op

Dayton, OH · On-site

$22 - $24/hr

This role blends software engineering, machine learning, and process automation to solve real-world engineering challenges. Join Resonetics and be part of a team that's redefining medical device ...

Resonetics

AI Automation Engineering Co-Op

Dayton, OH · On-site

$22 - $24/hr

This role blends software engineering, machine learning, and process automation to solve real-world engineering challenges. Join Resonetics and be part of a team that's redefining medical device ...

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Showing results 21-40

All JobsMachine Learning JobsMachine Learning Jobs in Dayton, OH

Machine Learning information

See Dayton, OH salary details

$23.8K

$39.7K

$82K

How much do machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning in Dayton, OH is $39,672.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Dayton, OH?

The most popular types of Machine Learning jobs in Dayton, OH are:

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

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

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

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

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

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

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Dayton, OH as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $39,672 per year, or $19.1 per hour.

Software Engineer

Etegent Technologies, Ltd

Beavercreek, OH • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 13 days ago

Job description

Job Type
Full-time
Description
Software Engineer
Etegent Technologies is a defense-focused technology company with offices in Beavercreek and Blue Ash, OH. We are a multi-disciplinary team of engineers, scientists, and management professionals dedicated to developing and commercializing AI/ML/Software solutions that address our customers' most significant challenges and opportunities.
Most important to us are our culture and values. Etegent's culture embodies respect, authenticity, collaboration, flexibility, curiosity, and fun.
The Candidate:
More so than seeking a candidate with specific training and experience, Etegent seeks a special type of person; someone with an innate curiosity and passion for learning and understanding, tempered by a recognition of the pragmatic constraints inherent in developing real solutions to real problems. They are flexible and adaptable, having the desire and ability to learn new skills and develop new capabilities to take on challenges outside their current realm of experience. We are seeking very sharp, curious, well-rounded, adaptable people who can learn and grow as required to confront the challenges at hand.
The Position:
Etegent is seeking a Software Engineer to help transition data exploitation algorithms from R&D into useable software to benefit our Department of Defense (DoD) and Intelligence Community (IC) customers. This opportunity will involve application software development from conceptualization and implementation to delivery and sustainment for DoD and IC user groups. This position is based in our Dayton office with some work performed on-site in our customers' facilities.
The ideal candidate will have experience in all phases of the software development lifecycle, be detail oriented, and have a passion for creating software solutions to enhance the capabilities of others. Experience working on-site to support either AFRL or NASIC is preferable. The immediate focus will be working on projects in signal processing, algorithm efficiency, webstack, databasing, infrastructure and deployment.
Job responsibilities:
  • Write efficient, modular, and well-documented code.
  • Collaborate with machine learning scientists and engineers building data analytics tools.
  • Develop customized tool sets to accelerate machine learning data curation and quality control including machine assisted data labeling and quality checks.
  • Develop reliable machine learning pipelines to support research, training, evaluation, and deployment.
  • Build visualizations of complex numerical and scientific data.
  • Develop signal processing chains and algorithms to process large sensor data volumes with near real-time availability of results.
  • Design and implement optimized, low-level code on embedded hardware
  • Design and implement end user applications that leverage machine learning algorithms.
  • Build and deploy machine learning systems/computer vision systems for analysts.
  • Architect user interfaces/APIs for sensor simulation, exploitation, and analytics.
  • Identify architectures and tool sets to support design implementations and ways to optimize throughput.
  • Develop database schema and application interfaces to scale solutions on high performance computing environments (HPC/Cloud)
  • Assist in monitoring and directing project schedules, resources, and costs.
  • Report on software development status and demonstrate software to customers.
  • Build and maintain GitLab CI/CD pipelines for multiple projects.

Requirements
Required Qualifications:
  • Bachelor's Degree in Computer Science, Software Engineering, or computer-related engineering field.
  • We are open to new graduates or varying levels of professional software engineering experience.
  • Previous experience in Software Engineering.
  • Experience with data visualization tools or libraries.
  • Object Oriented software development knowledge and experience.
  • Unit testing tools and methodologies knowledge and experience.
  • Experience with Linux OS.
  • Strong oral and written communication skills.
  • Strong planning and capacity experience in a hands-on environment.
  • Ability to obtain and maintain a TS/SCI security clearance.

Additional Qualifications for Senior-Level Candidates:
Senior-level candidates should also demonstrate:
  • Experience building and maintaining successful relationships with R&D customers while supporting business growth and development efforts.
  • Previous experience leading cross-functional project teams and driving projects to successful completion.

Preferred Qualifications:
  • Master's Degree in Computer Science, Software Engineering, Data Science, or a related field.
  • 3+ years of experience in Software Engineering.
  • Experience working with relational SQL databases (e.g., PostgreSQL)
  • Strong knowledge of Python, and common data science / ML packages (e.g., NumPy, PyTorch)
  • Experience or knowledge in Machine Learning and Machine Learning Pipelines.
  • Experience analyzing user requirements and translating to technical designs.
  • Ability to understand the requirements of designing or transitioning software in a production environment
  • Capacity to come up to speed quickly on different algorithms.
  • Familiarity with geospatial standards, GIS applications, or geospatial data formats (e.g., GeoJSON, KML, Shapefiles).
  • Strong knowledge of C++, as well as GPUs and other embedded hardware
  • Experience with web development and common frameworks (e.g., React, TypeScript).
  • Knowledge and experience with WebGL, Web Map Service (WMS) and RESTful interfaces.
  • OpenGL, QT framework, and Web Services experience.
  • Experience scaling algorithms for high performance environments (Cloud/DSRC)
  • TS security clearance with active SCI adjudication.

Key Attributes:
  • Ability to work independently and as part of a team, with multiple simultaneous projects.
  • Welcomes a challenge: Seeks out opportunities and does not shy away from adversity.
  • Collaborative: Recognizes the team that is supporting them behind the scenes and works to regularly understand others' needs and communicates frequent updates.
  • Comfortable with adjusting to the needs of a small business and wearing several hats.

Working at Etegent:
At Etegent, you'll be a part of a fast-growing organization that combines a small-company feel with big-company resources and opportunities. We know that work-life balance is incredibly important, which is why in addition to your competitive salary, medical/dental/vision plan, and a generous annual company 401(k) contribution, you'll enjoy the following:
Flexibility: Not a morning person? No problem. We only ask that you begin your day by 10:00am. Also, you will enjoy a flexible schedule and some ability to telecommute.
Casual Dress: We know that incredible things can be achieved by people in casual clothing. We allow employees to dress in the way that is the most comfortable to them.
Professional Development: Continuous learning on us. Reimbursement provided for up to 100% of qualifying education expenses.
Food: Keep your energy levels up with our well-supplied snack and beverage kitchen and enjoy a weekly lunch with your talented colleagues on Free Lunch Thursdays.
Fun employee events: Enjoy frequent employee get-togethers outside of work!
Competitive compensation based on qualifications and experience of candidate.
Etegent Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, protected veteran status or disability.

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