Spring AI Automation Engineering Co-Op
About The Position
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.
Requirements
- 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
Nice To Haves
- Experience with computer vision or image processing
- Exposure to cloud platforms (AWS, Azure, or GCP)
- Knowledge of data pipelines, SQL, or data visualization tools
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
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
