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Machine Learning Engineer Intern Jobs in Fairborn, OH

Mechanical Engineering Intern

Miamisburg, OH

$16.75 - $22.75/hr

The Mechanical Engineering Intern will be responsible for assisting others in the conceptual and ... Experience with machining processes is desirable. * Must be proficient in MS Office. * Previous ...

Mechanical Engineering Intern

Miamisburg, OH ยท On-site

$16.75 - $22.75/hr

The Mechanical Engineering Intern will be responsible for assisting others in the conceptual and ... Experience with machining processes is desirable. * Must be proficient in MS Office. * Previous ...

AI Engineer 2

Dayton, OH ยท On-site

$115K - $130K/yr

... machine learning models to solve complex, mission-critical problems. Whether fine-tuning large ... Collaborate with software engineers, within an agile development environment, to implement, test ...

AI Engineer

Dayton, OH ยท On-site

$115K - $130K/yr

... machine learning models to solve complex, mission-critical problems. Whether fine-tuning large ... Collaborate with software engineers, within an agile development environment, to implement, test ...

Design and apply cutting-edge signal processing and machine learning techniques to solve complex ... Government * BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related ...

Showing results 41-60

Machine Learning Engineer Intern information

See Fairborn, OH salary details

$24.1K

$40.2K

$83.1K

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

As of Sep 3, 2026, the average yearly pay for machine learning engineer intern in Fairborn, OH is $40,226.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,700.00 and $43,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

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

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

What are popular job titles related to Machine Learning Engineer Intern jobs in Fairborn, OH?

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

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

The top searched job categories for Machine Learning Engineer Intern jobs in Fairborn, OH are:

What cities near Fairborn, OH are hiring for Machine Learning Engineer Intern jobs?

Cities near Fairborn, OH with the most Machine Learning Engineer Intern job openings:

Infographic showing various Machine Learning Engineer Intern job openings in Fairborn, OH as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,226 per year, or $19.3 per hour.

Software Engineer, Senior with Security Clearance

GRVTY

Dayton, OH โ€ข On-site

$119K - $157K/yr

Other

Re-posted 11 days ago


Job description

What Impact You'll Have GRVTY is looking for a Senior Software Engineer to join a small, technically focused team supporting national security missions at a customer site in Dayton, Ohio. This is hands-on engineering work - you will be designing and building Python-based software tools that support optical signature modeling, spectral data analysis, and machine learning-enabled sensor workflows. The work spans algorithm development, data pipeline construction, and integration of ML capabilities into operational and analytical environments. You will work directly with scientists, sensor domain experts, and intelligence analysts - translating complex technical requirements into functional, maintainable software. This is not a role for someone looking to coast. We want someone who is technically sharp, can operate with a degree of autonomy, and understands that the software they build has real downstream impact on mission outcomes. What You'll be Owning * Design, develop, and maintain Python-based software tools supporting optical signature modeling, spectral sensor data processing, and analytical workflows. * Work with sensor physicists, data scientists, and machine learning engineers to translate technical concepts and mission requirements into working software. * Build and optimize data pipelines for ingesting, processing, and analyzing large-scale scientific and sensor datasets. * Develop and integrate machine learning workflows - including training data preparation, model integration, and evaluation - into operational toolsets. * Create clear software architecture documentation, workflow diagrams, and code structure so tools can be maintained, extended, and transitioned effectively. * Test, validate, and troubleshoot algorithms and software modules across development and deployment environments, including classified workspaces. * Manage and maintain Git repositories with discipline - clean commits, meaningful documentation, and reproducible builds. * Contribute to a culture of technical rigor: peer reviews, coding standards, and honest engagement with complex problems. What You Must Have * Active Top Secret clearance with ability to obtain SCI and CI polygraph. * Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a related STEM field. Equivalent hands-on experience will be considered. * 9+ years of professional software development experience, with demonstrated focus on scientific computing, algorithm development, data processing, or related technical domains or 7+ years of experience and a Masters degree * Expert-level Python programming, including object-oriented design, modular architecture, and production-quality code. * Experience developing software for data-intensive workflows - sensor data, scientific data, simulation, or equivalent. * Ability to work from technical or scientific requirements and produce well-structured software architecture, logic flows, and implementation plans. * Comfortable operating in both Windows and Linux environments, including secure or classified customer workspaces. * Familiarity with source control and development tooling: Git, GitLab, Bitbucket, Jira, Jenkins, or equivalent. * Strong communication skills - able to work directly with domain experts who are not software engineers and translate what they need into software that actually works. What Would be Nice to Have * Experience with optical signature modeling, EO/IR sensor data, spectral analysis, or hyperspectral data processing. * Familiarity with machine learning frameworks and workflows: PyTorch, TensorFlow, scikit-learn, or equivalent. * Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar. * Background in signal processing, image processing, or remote sensing data workflows. * Experience with simulation, modeling, or mission analysis software in a defense or intelligence context. * Familiarity with ML/Ops practices - training pipelines, data labeling, model evaluation, and deployment workflows. * Experience integrating algorithms into existing operational software suites. * Proficiency in a secondary technical language: C, C++, MATLAB, Java, or Rust. * Advanced degree in a relevant technical field (Computer Science, Electrical Engineering, Physics, Image Science, or related). * Prior experience supporting defense, intelligence, or classified customer environments. * Experience with CI/CD practices, automated testing, and DevSecOps tooling.