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Entry Level Machine Learning Engineer Jobs in Dayton, OH

Booz Allen Hamilton

Computer Vision AI Engineer

Dayton, OH · On-site

$99K - $225K/yr

You'll grow within a large community of machine learning engineers across the company and collaborate with a team of dedicated Space industry and AI professionals to deliver world-class solutions to ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

AI/ML Engineer Location: Dayton, OH Employment Type: Full-Time Clearance requirements: TS/SCI About ... Design, develop, and implement machine learning and deep learning models * Build and optimize model ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

AI/ML Engineer Location: Dayton, OH Employment Type: Full-Time Clearance requirements: TS/SCI About ... Design, develop, and implement machine learning and deep learning models * Build and optimize model ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site

AI/ML Engineer Location: Dayton, OH Employment Type: Full-Time Clearance requirements: TS/SCI About ... Design, develop, and implement machine learning and deep learning models * Build and optimize model ...

Fuyao Glass America Inc

Software Control Engineer

Dayton, OH · On-site

$44 - $56/hr

The Software Control Engineer will play a pivotal role in enhancing the functionality and ... Knowledge of machine learning algorithms and their application in software control. * Familiarity ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Dayton, OH

Entry Level Machine Learning Engineer information

See Dayton, OH salary details

$29.2K

$67.4K

$114.7K

How much do entry level machine learning engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for entry level machine learning engineer in Dayton, OH is $67,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $76,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Dayton, OH? The most popular types of Machine Learning Engineer jobs in Dayton, OH are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Dayton, OH? For Entry Level Machine Learning Engineer jobs in Dayton, OH, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Dayton, OH look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Dayton, OH are:
What cities near Dayton, OH are hiring for Entry Level Machine Learning Engineer jobs? Cities near Dayton, OH with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Dayton, OH as of July 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $67,417 per year, or $32.4 per hour.
Machine Learning Engineer

Machine Learning Engineer

Radiance Technologies

Beavercreek, OH

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 15 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.

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