AI/ML Engineering Co-op

Parker Hannifin; Elyria (OH); On-site; USD 28,000 - 41,000; Part time

Benefits offered by this job

On-site internship

Job summary

Parker Hannifin is seeking an AI/ML Engineering Co-op in Elyria, Ohio, on-site for the fall start. The role focuses on prototyping AI/ML for manufacturing automation, enabling CNC generation from CAD/CAM inputs, and integrating physics-informed methods.

You will build OCR pipelines and support Unity/VR visualizations alongside handoff-ready code. The ideal candidate is a Master’s student in AI/ML (with a Mechanical Engineering background) with hands-on ML, Python, and cloud tools experience, and

Qualifications

• Master’s student in AI/ML (or related field) with a bachelor’s in mechanical engineering.
• Local candidate available on-site for a minimum of 2 semesters.
• Coursework or hands-on exposure in ML/DL, data structures & algorithms, CAD/CAM, manufacturing processes, numerical methods.
• Simulation experience (FEA/CFD); Ansys Mechanical and Fluent preferred.
• Python and ML frameworks (PyTorch or TensorFlow).
• Git, Docker, and cloud fundamentals (AWS/GCP/Azure).
• Familiarity with CNC concepts (G-code, toolpaths, feeds & speeds) and CAD tools.
• Generative AI/LLMs, code generation, transformer models experience.
• Physics-constrained learning (PINNs) and MLOps exposure.
• OCR/document understanding; Unity/VR app development or 3D visualization.

Responsibilities

• Prototype AI/ML solutions for manufacturing automation and product development.
• Develop generative-AI workflows to produce and validate CNC (G-code) from CAD/CAM inputs.
• Integrate PINNs into models for improved reliability.
• Build OCR/document ingestion pipelines and connect to downstream ML systems.
• Support Unity/VR visualizations and deliver demos, reports, and handoff-ready code.

Skills

Machine Learning & Deep Learning

Python

MLOps & deployment

CNC concepts

Generative AI/LLMs

3D visualization

Education

Master’s student in AI/ML (or related field) with a bachelor’s in mechanical engineering

Tools

Git

Docker

AWS

GCP

Azure

Python

PyTorch

TensorFlow

Ansys Mechanical

Fluent

CAD/CAM

G-code

Unity

Job description

Responsibilities

Responsibilities

Are you ready to shape a brighter future?

In Motion Systems Group and Hydraulic Valve Systems Division, we play a pivotal role in applications that change our world. We are in almost everything that moves. With our wide range of technologies, we help our customers solve their most complex engineering challenges by living our purpose: enabling engineering breakthroughs that lead to a better tomorrow. We believe that our team members are our key assets and that a diverse workforce is a driving force to bring our purpose to life. We foster a culture where every team member feels safe, included and empowered.

We all belong, we all matter, and we all make a difference.

We have an exciting opening for a AI/ML Engineering Co-op in Elyria, Ohio. This is an on-site opportunity starting in the fall.

Your Main Responsibilities

• Prototype AI/ML solutions for manufacturing automation and product development.
• Develop generative-AI workflows to produce and validate CNC (G-code) from CAD/CAM inputs.
• Integrate physics-informed techniques (e.g., PINNs) into models for improved reliability.
• Build OCR/document-ingestion pipelines and connect to downstream ML systems.
• Support Unity/VR visualizations as needed and deliver demos, reports, and handoff-ready code.

We Are Looking For Talent With

• Preferred: Master’s student in AI/ML (or related field) with a bachelor’s in mechanical engineering.
• Local candidate available to be on site for a minimum of 2 semesters.
• Coursework or hands-on exposure in: Machine Learning / Deep Learning, Data Structures & Algorithms, CAD/CAM, Manufacturing Processes / Machining, and Numerical Methods.
• Simulation experience (FEA and/or CFD) - Ansys Mechanical and Fluent preferred.
• Practical experience with Python and ML frameworks (PyTorch or TensorFlow).
• Familiarity with basic software engineering tools: Git, Docker, and cloud fundamentals (AWS/GCP/Azure).
• Familiarity with CNC concepts (G-code, toolpaths, feeds & speeds) and CAD tools.
• Coursework or project experience in Generative AI / LLMs, code generation, or transformer models.
• Experience with physics-constrained learning (PINNs).
• Exposure to MLOps, model deployment, and automated testing.
• OCR/document understanding
• Unity / VR app development or 3D visualization experience.

Parker Hannifin

Parker Hannifin is a Fortune 250 global leader in motion and control technologies. For more than a century, we’ve enabled engineering breakthroughs that make energy cleaner, transportation safer, medical treatments more effective, and manufacturing more efficient.

With empowered team members in more than 40 countries, Parker serves customers across aerospace & defense, energy, HVAC & refrigeration, in-plant & industrial equipment, off-highway and transportation.

Our scale is global, but our purpose is personal. We enable breakthroughs that improve lives, strengthen communities and create a brighter future.

Our Purpose — Enabling Engineering Breakthroughs that Lead to a Better Tomorrow — comes to life through our people-first culture where teamwork drives performance, inclusion fuels innovation and growth is encouraged. This environment fosters collaboration and empowers team members from engineering and manufacturing to finance, supply chain, human resources, information technology and beyond.

By combining deep expertise with an entrepreneurial spirit, we help customers succeed in markets that demand performance, reliability, and sustainability.

As we look to the future, Parker is advancing initiatives in energy efficiency and sustainability while developing the next generation of talent and leaders to engineer a better tomorrow.

Equal Employment Opportunity

Parker is an Equal Opportunity and Employer. Parker is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job related reasons irrespective of race, ethnicity, color, religion, sex, sexual orientation, age, national origin, disability, gender identity, genetic information, veteran status, or any other status protected by law. However, U.S. Citizenship, Permanent Residency or other appropriate status is required for certain positions, in accord with U.S. import & export regulations.

(“Minority / Female / Disability / Veteran / VEVRAA Federal Contractor”)

If you would like more information about Equal Employment Opportunity as an applicant under the law, please go to Employees & Job Applicants | U.S. Equal Employment Opportunity Commission

Drug Tests

Drug-Free Workplace

In accordance with Parker’s policies and applicable state laws, Parker provides for a drug-free workplace. Therefore, all applicants seeking employment with Parker will be subject to drug testing as a condition of employment.