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Machine Learning Developer Intern Jobs in Sidney, OH

MMB Solutions LLC

Mid-Level Systems Engineer

Dayton, OH · On-site

$130K - $185K/yr

Experience integrating analytics or machine learning workflows * Experience with cloud-native infrastructure or DevOps environments * Familiarity with simulation environments or complex data ...

Booz Allen Hamilton

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize mission systems and accelerate decisionmaking ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site +1

$99K - $225K/yr

As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize mission systems and accelerate decision-making ...

Phase2 Technology

AI/ML Engineer, Senior

Dayton, OH · On-site

$99 - $225/hr

R0242678 AI/ML Engineer, Senior The Opportunity As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize ...

New

Booz Allen Hamilton

Senior AI/ML Engineer

Dayton, OH · On-site

$99K - $225K/yr

As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize mission systems and accelerate decision-making ...

STR

Autonomy Algorithms Senior Software Engineer

Dayton, OH · On-site +1

$134K - $184K/yr

By leveraging expertise in machine learning, algorithms, model-predictive control, and software ... As an Autonomy Algorithms Senior Software Engineer, you will work as part of a tightly knit team to ...

Bestica Inc.

Data Visualization Specialist

Dayton, OH · On-site

... and machine learning techniques. * Able to utilize data visualization tools to create decision ... programming languages (e.g., Python, R) is preferred. * Be current in Health Information ...

STR

Autonomy Algorithms Senior Software Engineer

Dayton, OH · On-site +1

$134K - $184K/yr

By leveraging expertise in machine learning, algorithms, model-predictive control, and software ... As an Autonomy Algorithms Senior Software Engineer, you will work as part of a tightly knit team to ...

STR

Autonomy Algorithms Senior Software Engineer

Dayton, OH · On-site

$134K - $184K/yr

By leveraging expertise in machine learning, algorithms, model-predictive control, and software ... As an Autonomy Algorithms Senior Software Engineer, you will work as part of a tightly knit team to ...

Elsevier

Sr Director Software Engineering

Dayton, OH

$156K - $290K/yr

Establishing engineering standards, architecture governance, security, scalability, and operational ... Evaluating emerging technologies, including Generative AI and machine learning, to improve learning ...

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Showing results 41-60

All JobsMachine Learning Developer Intern JobsMachine Learning Developer Intern Jobs in Sidney, OH

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 Aug 8, 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?

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:
Machine Learning Developer Intern jobs near you

Mid-Level Systems Engineer

MMB Solutions LLC

Dayton, OH • On-site

$130K - $185K/yr

Full-time

Re-posted 3 days ago

Job description

Mid-Level Systems Engineer
Location: Dayton, Ohio
Security Clearance: U.S. Citizenship Required | Ability to obtain and maintain a U.S. Government Security Clearance
Experience: 3-8 years of experience in systems engineering, distributed systems, or complex software platforms
Bachelor's degree in:
    • Systems Engineering
    • Computer Engineering
    • Computer Science
    • Electrical Engineering
    • Software Engineering

Overview
MMB Solutions is seeking a Mid-Level Systems Engineer to support the development of advanced distributed data processing and analytics platforms. This role focuses on research, development, and experimentation with distributed computing architectures, data pipelines, and scalable analytics systems designed to process and analyze multi-modal data sources.
The successful candidate will work with a multidisciplinary engineering team designing and integrating cloud-native infrastructure, distributed processing systems, and advanced analytics workflows supporting complex mission and research environments.
This is an opportunity to contribute to cutting-edge technology development involving distributed systems, data processing frameworks, and advanced analytics architectures.
Key Responsibilities
Systems Engineering & Architecture
  • Support the design and evolution of distributed data processing and analytics platforms
  • Assist in developing system architectures for scalable data ingestion, processing, and analytics pipelines
  • Define and document system interfaces across heterogeneous data sources and processing components
  • Contribute to system requirements, architecture documentation, and technical design artifacts

Research and Development
  • Support experimentation with distributed computing architectures and large-scale data processing frameworks
  • Assist with development of data pipelines capable of ingesting and processing multi-modal datasets
  • Participate in research activities exploring new approaches to data analytics, system scalability, and distributed processing
  • Contribute to prototype development and evaluation of emerging technical capabilities

Integration and Testing
  • Support integration of distributed system components across multiple compute environments
  • Participate in system testing, validation, and evaluation of new platform capabilities
  • Assist in the development of experimental processing pipelines and analytical workflows
  • Support technical demonstrations and system evaluations

Platform Development Support
  • Work with software engineers to integrate new platform capabilities and services
  • Assist in developing interfaces to new data sources and processing modules
  • Support deployment and configuration of distributed system components
  • Contribute to performance tuning and system optimization activities

Documentation & Technical Communication
  • Develop and maintain system engineering documentation, including architecture diagrams and interface descriptions
  • Document experimental results, system evaluations, and technical findings
  • Support technical discussions and design reviews with internal engineering teams and external stakeholders
Desired Qualifications
Candidates with the following experience are strongly preferred:
  • Experience with distributed systems architectures
  • Familiarity with containerized environments (Docker, Kubernetes)
  • Experience working with data pipelines or streaming data architectures
  • Experience integrating analytics or machine learning workflows
  • Experience with cloud-native infrastructure or DevOps environments
  • Familiarity with simulation environments or complex data processing systems
  • Experience supporting research and development programs

MMB Solutions is a technology-driven engineering firm focused on developing advanced distributed computing and analytics platforms. Our engineers work on complex technical challenges involving large-scale data processing, emerging computing architectures, and next-generation analytics systems.
We offer an environment where engineers can work on innovative technologies, collaborate with highly technical teams, and contribute directly to the development of new capabilities.

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