Data Scientist Intern at II-VI… · 20…

Summary: II-VI Aerospace & Defense is seeking a motivated Data Scientist Intern to join their SiC Data Systems team for Summer 2026. The intern will gain hands-on experience in Machine-Learning and Artificial Intelligence applications in manufacturing while contributing to projects that support large-scale manufacturing of next-generation semiconductor materials. Responsibilities: - Projects will be in LLM implementation (Retrieval-Augmented Generation) or machine-learning-based defect classification - Guided ownership of entire project pipeline: problem identification, process discovery, solution design, and implementation - Key skills involved include dataset construction, model training & validation, semantic layer engineering - Close collaboration with software engineers, data scientists, and business stakeholders - By the end of the internship, a prototype of the selected project is expected Required Qualifications: - Currently enrolled students or those who have graduated within one year of the internship start date - Education Level Required: pending bachelor's degree (rising senior) at minimum - Majors: Computer Science, Mathematics, Physics, Engineering, or other related STEM fields - Must be US citizen or permanent resident - Proficiency in AI model training or LLM context engineering - Familiarity with Python-based data science ecosystem - Sound understanding of foundations of AI/ML technologies - 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 - Must be a U.S. Person as defined by ITAR (U.S. Citizen, U.S. Permanent Resident, or protected individual) - Compliance with all applicable export control regulations Preferred Qualifications: - Pending master's or doctoral degree is beneficial - Relevant coursework or extracurricular experience in material science or manufacturing is a plus Required Skills: AI model training, Python-based data science, foundations of AI/ML Important Skills: dataset construction