Intern - Automation and Machine Learning… at II-VI… · 6800 South

Summary: II-VI Aerospace & Defense is seeking a motivated and detail-oriented Automation & Machine Learning Engineer Intern to join their Automation team for Summer 2026. The role involves gaining hands-on experience in applying machine learning and advanced analytics to semiconductor manufacturing, contributing to projects that support process optimization and anomaly prediction. Responsibilities: - Analyze manufacturing datasets to identify patterns, correlations, and potential process anomalies using advanced analytics and machine learning techniques - Develop and implement data pipelines to extract, transform, and integrate data from multiple sources into structured data models - Build and evaluate predictive models and anomaly detection algorithms to support early detection of process deviations and improve manufacturing performance - Identify relevant data features, labels, and training datasets to support predictive modeling and analysis - Collaborate with engineering teams to translate manufacturing requirements into data-driven solutions and automation workflows - Present project results and deliver a working prototype with documented methodologies, models, and findings at the end of the internship Required Qualifications: - Education Level Required: Bachelor's (rising senior)/ Master's - Majors: Computer Science, Engineering, Mathematics, Physics or related STEM fields - Project, academic, or coursework experience in predictive analytics, machine learning, or data science, with exposure to techniques such as deep learning, neural networks, or reinforcement learning - Open to currently enrolled students at the internship start date - Excellent written and verbal communication - Team-oriented but able to work independently when needed - Adaptable and eager to learn in a fast-paced environment - Attention to detail and time management Preferred Qualifications: - Experience with semiconductor manufacturing data or processes is a plus Required Skills: Machine Learning, Predictive Analytics, Data Pipeline Development Important Skills: Deep Learning, Neural Networks