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Machine Learning Developer Intern Jobs in Sidney, OH

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/AI developer. R&D Location: United States Work Model: Remote Travel: Approximately 15% for ... Develop AI-enabled applications using LLMs, machine learning models, and other modern AI ...

Engineering Intern Winter 2027

Piqua, OH · Hybrid

$15.25 - $19.75/hr

In this role, you may gain hands-on experience across a variety of engineering functions within a ... Continuous Learning - Actively identifies new areas for learning; regularly creates and takes ...

Engineering Intern Winter 2027

Piqua, OH · On-site

$15.25 - $19.75/hr

In this role, you may gain hands-on experience across a variety of engineering functions within a ... Continuous Learning - Actively identifies new areas for learning; regularly creates and takes ...

Showing results 41-60

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 Sep 11, 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.

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.

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 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:

Summer 2027 Manufacturing Engineering Intern

Dayton, OH • On-site

AeroVironment
Manufacturing • 1 - 5K employees

$16.25 - $21.25/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago


AeroVironment rating

9.1

Company rating: 9.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Worker Type

Supplemental


Job Description

Summer Internship Program

Our paid Summer Internship Program is designed to provide students with an immersive, hands-on experience within the aerospace and defense industry. Interns work alongside AV team members on meaningful projects involving cutting-edge technology while developing professional relationships, strategic problem-solving skills, and practical experience in a full-time work environment.

This is a 12-week, onsite program intended for highly motivated and passionate students who are currently enrolled in college or are recent graduates. Applicants must have a minimum 3.0 GPA, with a preference for students at the junior level or above.

Our program has been recognized by Yello and WayUp as one of the Top 100 Internship Programs in the United States for multiple years.

Depending on the team and location, students who are willing to relocate for their internship may be eligible for a relocation and housing reimbursement stipend.

AV offers internship opportunities across various teams and locations throughout the United States. Specific team, location, and program details will be discussed during the interview process.

Summary

As a Manufacturing Engineering Intern, you will support the design and operation of manufacturing systems for AV Unmanned Air Vehicles. Under the guidance of experienced manufacturing engineers, you will assist in analyzing production processes and data, help optimize manufacturing workflows, and contribute to continuous improvement initiatives using Lean Manufacturing and Six Sigma principles. This internship provides hands-on experience in manufacturing process design, factory planning, and production support.

Position Responsibilities

  • Assist in supporting and improving manufacturing processes with a focus on efficiency and quality

  • Help implement Lean Manufacturing principles and apply Six Sigma methods to support continuous improvement efforts

  • Analyze production data such as yields, capacity, cost, and process capability to identify opportunities for improvement

  • Support establishment and documentation of standard work hours, sequences, and assembly procedures

  • Help generate and update work instructions and other documentation controlling manufacturing processes

  • Participate in root cause analysis and problem-solving activities related to materials, design, equipment, and personnel

  • Assist in manufacturing capacity planning and factory layout design for improved efficiency

  • Support cost estimation activities for new tooling, fixtures, and production equipment

  • Collaborate with design engineering teams on Design for Manufacturing (DFM) and reliability analysis

  • Participate in cross-functional improvement projects involving engineering and suppliers to enhance cost, cycle time, and quality

  • Support Design Failure Modes and Effects Analysis (DFMEA) and Process FMEA (PFMEA) activities

  • Provide input to engineering regarding manufacturing considerations for design concepts and specifications

  • Gain hands-on experience supporting production floor activities, including assembly and integration processes

  • Other duties as assigned

Basic Qualifications

  • Currently pursuing a Bachelor's degree in Industrial, Mechanical, or a related engineering field

  • Some coursework or experience related to manufacturing, process improvement, or quality control

  • Familiarity with Lean Manufacturing and Six Sigma principles is a plus

  • Basic knowledge of electro-mechanical manufacturing, technical drawings, and Bill of Materials is preferred

  • Proficient in Microsoft Office (Word, Excel, PowerPoint, Outlook); experience with Visio, Minitab, or CAD software (e.g., SolidWorks) is a plus

  • Ability to travel occasionally to supplier sites (up to 10%)

Preferred Qualifications

  • Strong problem-solving and analytical skills

  • Interest in root cause analysis and continuous improvement techniques

  • Effective teamwork and communication skills

  • Ability to manage multiple tasks in a fast-paced, deadline-driven environment

  • Demonstrates initiative and responsibility for assigned work

  • Commitment to learning and professional growth

Physical Demands

  • Ability to work in an office environment (constant)

  • Required to sit or stand for extended periods and use computer and office equipment frequently

ITAR Requirement:

This position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants will be asked to provide specific documentation to verify U.S. person status under the ITAR and the EAR. A "U.S. person" according to their definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee, or asylee. See 22 CFR 120.15. Some positions will require current U.S. Citizenship due to contract requirements.

Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: http://www.avinc.com/myavbenefits.

We also encourage you to review our company website at http://www.avinc.com to learn more about us.

Principals only need apply. NO agencies please.

Who We Are

Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC.

Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed.

What We Do

Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition.

We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data,sexual orientation, gender identity or other legally protected status.

ITAR


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