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Intern Manufacturing Engineering Jobs in Reading, PA

Phytogenx Incorporated

Operations AI Intern

Morgantown, PA · On-site

$14.75 - $19.50/hr

We are seeking a motivated AI Intern to support focused artificial intelligence and automation ... Exposure to modern manufacturing processes and industrial systems. * Mentorship from engineers and ...

Pladis Global

Packaging Engineer Intern

Reading, PA · On-site

$20/hr

Under the supervision of the Director, Packaging Engineering, the Packaging Engineer Internship ... This role will support production/ manufacturing in the resolution of packaging issues including ...

pladis

Packaging Engineer Intern

Reading, PA

$20/hr

Under the supervision of the Director, Packaging Engineering, the Packaging Engineer Internship ... This role will support production/ manufacturing in the resolution of packaging issues including ...

Kenvue

Senior Master Production Scheduler

Hopeland, PA

$90K - $127K/yr

Based on organizational design, selected candidate may have part-time (intern/co-op) direct reports ... Experience in an FDA regulated manufacturing facility is preferred. * APICS certification is ...

New

Kenvue

Senior Master Production Scheduler

Rothsville, PA

$90K - $127K/yr

Based on organizational design, selected candidate may have part-time (intern/co-op) direct reports ... Experience in an FDA regulated manufacturing facility is preferred. * APICS certification is ...

New

Kenvue

Senior Master Production Scheduler

Clay, PA

$90K - $127K/yr

Based on organizational design, selected candidate may have part-time (intern/co-op) direct reports ... Experience in an FDA regulated manufacturing facility is preferred. * APICS certification is ...

New

All JobsIntern Manufacturing Engineering JobsIntern Manufacturing Engineering Jobs in Reading, PA

Intern Manufacturing Engineering information

See Reading, PA salary details

$10

$18

$28

How much do intern manufacturing engineering jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for intern manufacturing engineering in Reading, PA is $18.55, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $20.10 per hour, depending on experience, location, and employer.

What is the difference between Intern Manufacturing Engineering vs Manufacturing Engineer?

AspectIntern Manufacturing EngineeringManufacturing Engineer
CredentialsTypically pursuing or recently completed a degree in engineering or related fieldBachelor's degree in manufacturing, industrial, or mechanical engineering
Work EnvironmentInternship setting, learning-focused, supervised by experienced engineersFull-time professional role, responsible for designing and improving manufacturing processes
Employer & Industry UsageEntry-level, often in manufacturing or industrial companiesEstablished manufacturing firms, involved in process optimization and production management

In summary, Intern Manufacturing Engineering positions are entry-level roles designed for students or recent graduates gaining industry experience, while Manufacturing Engineers are full-time professionals responsible for developing and improving manufacturing processes. The internship provides foundational exposure, whereas the engineering role involves applying skills to real-world production challenges.

What are the key skills and qualifications needed to thrive as an intern manufacturing engineering?

To thrive as an Intern Manufacturing Engineering, you need a solid understanding of engineering principles, problem-solving abilities, and coursework in manufacturing or mechanical engineering. Familiarity with CAD software, lean manufacturing tools, and data analysis systems is often expected. Strong communication, teamwork, and adaptability help interns collaborate with engineers and production staff. These skills ensure effective project contributions and the ability to support process improvements in a dynamic manufacturing environment.

What does an intern manufacturing engineering do?

An Intern in Manufacturing Engineering assists with the design, development, and improvement of manufacturing processes within a company. They work under the supervision of experienced engineers to help optimize production workflows, troubleshoot equipment issues, and implement quality control measures. Their tasks may include data analysis, process documentation, supporting new product launches, and collaborating with other departments to ensure efficient and safe manufacturing operations. This role provides hands-on experience in real-world engineering environments, helping interns apply their academic knowledge to practical challenges.

How does an intern manufacturing engineering typically collaborate with other departments during their internship?

As an Intern in Manufacturing Engineering, you'll regularly work alongside teams such as Quality Assurance, Production, and Design Engineering. Collaboration often involves participating in cross-functional meetings to address process improvements, troubleshooting production issues, and implementing efficiency projects. Interns may assist in gathering data from the shop floor, communicating findings to various teams, and supporting the rollout of new manufacturing processes. These interactions provide valuable exposure to the workflow and foster a strong understanding of how different departments contribute to manufacturing success.

What are the most commonly searched types of Manufacturing Engineering jobs in Reading, PA?

The most popular types of Manufacturing Engineering jobs in Reading, PA are:

What cities near Reading, PA are hiring for Intern Manufacturing Engineering jobs?

Cities near Reading, PA with the most Intern Manufacturing Engineering job openings:

Intern Manufacturing Engineering jobs near you

Operations AI Intern

Phytogenx Incorporated

Morgantown, PA • On-site

$14.75 - $19.50/hr

Other

Re-posted 20 days ago

Job description

We are seeking a motivated AI Intern to support focused artificial intelligence and automation projects across our manufacturing operations. This role is ideal for a student or early‑career technologist who wants real‑world experience applying modern AI tools to solve practical production, quality, and workflow challenges. You will work closely with engineering, operations, and quality teams to prototype AI solutions, analyze data, and help streamline processes. This is a hands‑on role with exposure to a wide variety of manufacturing systems and continuous improvement initiatives.

Key Responsibilities
  • Assist in designing, testing, and deploying AI‑powered solutions that support production, quality, and efficiency goals.
  • Collect, clean, and analyze operational datasets from manufacturing systems (e.g., production logs, quality data, equipment metrics).
  • Build lightweight prototypes such as predictive models, computer vision tools, or workflow automations.
  • Support development of dashboards, reports, and visualizations for plant metrics and AI outputs.
  • Collaborate with cross‑functional teams to document requirements, findings, and implementation steps.
  • Research new AI tools, frameworks, and best practices applicable to manufacturing environments.
  • Maintain clear documentation of models, workflows, and results.
    • Preferred Qualifications
  • Currently pursuing a degree in Computer Science, Data Science, Engineering, AI/ML, Industrial Engineering, or related field.
  • Foundational knowledge of machine learning concepts and data analysis.
  • Experience with Python, SQL, AI frameworks, computer vision tools, visualization software, or automation platforms is a plus.
  • Interest in manufacturing, process optimization, or industrial automation.
    • Soft Skills
  • Strong problem‑solving mindset and curiosity.
  • Willingness to learn new tools quickly.
  • Ability to communicate findings to both technical and non‑technical teams.
  • Detail‑oriented, organized, and able to work independently with guidance.
    • What You’ll Gain
  • Hands‑on experience applying AI to real operational challenges.
  • Exposure to modern manufacturing processes and industrial systems.
  • Mentorship from engineers and leaders supporting innovation initiatives.
  • Opportunity to contribute directly to efficiency, quality, and capability improvements.

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