In this role, you will assist in advancing surface finishing technology in Anodizing industry, through data analytics, statistical modeling, and predictive process engineering tailored for new color development. You will gain deep, practical exposure to Apple's new color development workflow—from lab-scale tinting trials to pilot line validation and ramp readiness. Additionally, you will have the opportunity to transform raw factory data-log into high-yield, robust color prediction solutions for iconic Apple products.

Minimum Qualifications

Bachelor’s degree or above (full-time) in Computer Science, Data Science, Applied Mathematics, Statistics, or related STEM disciplines.
Available for a full-time internship, 6~12 months.
Solid foundational knowledge in computer science and applied mathematics; proficient in at least one mainstream programming language (Python, Java, or C++) with strong engineering code quality.
Hands-on R&D experience in data analytics, data mining, or machine learning algorithm/model development.

Preferred Qualifications

Experience handling messy industrial data, inline sensor telemetry, and developing automated data pipelines/visualizations (e.g., Tableau, Plotly, Streamlit).
Familiar with Linux operating environments and big data ecosystem components (e.g., Hadoop, Spark); strong data intuition and keen business acumen.
Prior internship or project experience in Anodizing, dyeing chemistry, color science or consumer hardware manufacturing.