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Machine Learning Developer Intern Jobs in Sidney, OH

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

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

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

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 ...

Application Developer

Dayton, OH ยท Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Backend Developer

Dayton, OH ยท Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Software Developer

Dayton, OH ยท Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DevOps Engineer

Dayton, OH ยท Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Back End Developer

Dayton, OH ยท Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Design and implement digital engineering infrastructure, leveraging artificial intelligence (AI), machine learning (ML), and data science methodologies to transform large volumes of experimental ...

... machine learning, algorithm development, algorithm integration, test & evaluation, model & simulation, systems engineering, radar systems, or communications systems. This position requires skills ...

... or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and ...

Web Application Developer

Dayton, OH ยท Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Quality Assurance Developer

Dayton, OH ยท Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Full Stack Developer

Dayton, OH ยท Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

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Showing results 1-20

Machine Learning Developer Intern information

See Sidney, OH salary details

$23.7K

$39.6K

$81.7K

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

As of Jun 13, 2026, the average yearly pay for machine learning developer intern in Sidney, OH is $39,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,200.00 and $42,700.00 per year, depending on experience, location, and employer.

How do Machine Learning Developer Interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What does a Machine Learning Developer Intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a Machine Learning Developer Intern, and why are they important?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities near Sidney, OH are hiring for Machine Learning Developer Intern jobs? Cities near Sidney, OH with the most Machine Learning Developer Intern job openings:
    AI/ML Engineer (Active TS/SCI )

    AI/ML Engineer (Active TS/SCI )

    Rackner

    Dayton, OH โ€ข On-site, Remote

    Other

    Medical, Dental, Vision, Life, Retirement, PTO

    Posted 24 days ago


    Job description

    Job Title: AI/ML Engineer

    Location: Dayton, OH and Remote
    Employment Type: Full-Time

    Clearance requirements: TS/SCI

    About the Role

    Rackner is seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced machine learning solutions that support mission-critical systems. This role will focus on building scalable models, developing training pipelines, and collaborating with cross-functional teams to deliver impactful AI-driven solutions.

    Key Responsibilities

    • Design, develop, and implement machine learning and deep learning models
    • Build and optimize model architectures including CNNs, RNNs, and transformer-based models
    • Develop and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R-CNN)
    • Perform feature engineering and prepare high-quality datasets for training and evaluation
    • Create and maintain AI/ML training runbooks and documentation
    • Collaborate with data engineers and software teams to integrate models into production systems
    • Ensure reproducibility through data versioning and metadata standards
    • Continuously evaluate and improve model performance and scalability

    Required Qualifications

    • Strong proficiency in designing and implementing model architectures, including:
      • Convolutional Neural Networks (CNNs)
      • Recurrent Neural Networks (RNNs)
      • Transformer-based architectures
      • Large Language Models (LLMs)
      • Object Detection models (e.g., YOLO, Faster R-CNN)
    • Hands-on experience with:
      • PyTorch and/or TensorFlow
      • Hugging Face, Ollama, or similar frameworks
    • Experience with data engineering concepts, including:
      • Feature engineering and dataset preparation
      • Data versioning tools (e.g., lakeFS)
      • Metadata standards such as STAC
    • Ability to create clear and effective AI/ML training runbooks
    • Strong problem-solving skills and ability to work in a collaborative environment

    Preferred Qualifications

    • Experience deploying models in cloud-native environments
    • Familiarity with DevSecOps practices
    • Experience working with large-scale or federal datasets
    • Understanding of MLOps principles and pipelines

    Benefits & Perks

    • Weekly pay with full remote flexibility
    • Professional growth investment, including paid certifications and training
    • Comprehensive benefits package, including:
      • Medical, dental, and vision coverage
      • 401(k) with 100% company match up to 6%
      • Paid time off (PTO)
      • Life and disability insurance
      • Home office equipment plan
    • A supportive, inclusive team culture focused on collaboration, trust, and mission impact

    About Rackner

    Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector.

    We enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation.

    Our teams solve high-impact problems that advance federal missions and strengthen national readiness.

    Join us to help shape the future of secure, scalable data systems supporting mission success.