Spring AI Automation Engineering Co-Op

Resonetics; New Chicago (OH); On-site; USD 30,000 - 33,000; Full time

Job summary

Resonetics is seeking an AI Automation Engineering Intern to support intelligent automation across manufacturing and business operations. You will blend software engineering, ML, and process automation to address real-world challenges in a fast-paced medical device environment.

Ideal candidates are pursuing a degree in CS/Engineering/Data Science, have experience with Python (and possibly JavaScript or C++), and are familiar with ML frameworks.

Qualifications

• Pursuing a degree in Computer Science, Engineering, Data Science, or related field.
• Experience with Python, JavaScript, or C++.
• Familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.

Responsibilities

• Design and develop AI-driven automation tools to optimize manufacturing workflows
• Build scripts and pipelines to automate repetitive engineering and operational tasks
• Assist in developing ML models for predictive maintenance, quality control, or process optimization
• Collaborate with cross-functional teams including engineering, IT, and operations

Skills

Python

JavaScript

C++

Education

Pursuing degree in Computer Science, Engineering, Data Science, or related field

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Overview

Resonetics is a global leader in advanced engineering, prototyping, product development, and micro manufacturing, driving innovation in the medical device industry. With rapid expansion across all our locations, we continue to push the boundaries of technology while fostering a dynamic, employee-centered culture. Our commitment to excellence and continuous improvement makes Resonetics an exciting place for professionals passionate about shaping the future of micro-manufacturing and being part of something bigger.

Resonetics is a leader in advanced manufacturing solutions for the medical device and life sciences industries, specializing in precision laser processing, micro-manufacturing, and automation. We are expanding our capabilities by integrating AI-driven automation to enhance efficiency, quality, and scalability.

We are seeking a highly motivated AI Automation Engineering Intern to support the development and implementation of intelligent automation systems across manufacturing and business operations. This role blends software engineering, machine learning, and process automation to solve real-world engineering challenges.

Join Resonetics and be part of a team that’s redefining medical device manufacturing. If you’re passionate about innovation and thrive in a fast-paced environment, we’d love to hear from you.

Responsibilities

• Design and develop AI-driven automation tools to optimize manufacturing workflows
• Build scripts and pipelines to automate repetitive engineering and operational tasks
• Assist in developing machine learning models for predictive maintenance, quality control, or process optimization
• Integrate AI solutions with existing systems (ERP, MES, or internal tools)
• Analyze data from manufacturing systems to identify opportunities for automation
• Collaborate with cross-functional teams including engineering, IT, and operations
• Document processes, code, and system architectures

Required Qualifications

• Currently pursuing a degree in Computer Science, Engineering, Data Science, or related field
• Experience with programming languages such as Python, JavaScript, or C++
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, or scikit-learn)
• Basic understanding of automation tools, APIs, or scripting
• Strong analytical and problem-solving skills
• Interest in manufacturing, robotics, or industrial automation is a plus

Preferred Qualifications

• Experience with computer vision or image processing
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Knowledge of data pipelines, SQL, or data visualization tools

Compensation

The compensation for this role is competitive and will be based on experience and qualifications. The anticipated range is $22.00 to $24.00 based on the years of schooling undergone.

For temp, temp-to-hire, and regular full-time positions, our company policy is that we are unable to provide visa sponsorship. Candidates must already be legally authorized to work in the United States without the need for sponsorship now or in the future.