Intern, Machine Learning – Semiconductor Laser Manufacturing (Summer 2026)

Job description

Job Summary We are seeking a highly motivated Machine Learning Intern to join our Semiconductor Laser Engineering team for Summer 2026. In this role, you will apply machine learning techniques to improve semiconductor laser manufacturing yield, optimize diode laser screening methods and inverse engineer for better performance. You will work closely with process engineers, device engineers, and data scientists to develop models that enhance process control and product performance prediction in a high-volume manufacturing environment. Primary Duties & Responsibilities: - Analyze large-scale manufacturing and test datasets to identify yield drivers and performance trends in semiconductor laser production - Develop and evaluate machine learning models to: - Predict device performance and reliability - Identify root causes of yield loss - Improve wafer-level and die-level screening strategies - Design data preprocessing and feature engineering pipelines for manufacturing and parametric test data - Apply statistical analysis and ML techniques (e.g., regression, classification, clustering, anomaly detection) to optimize diode laser screening thresholds - Collaborate with device, process,...