Day to Day Responsibilities:

• Participate in research & engineering projects providing data analytics, machine learning, software development, and modeling support to Corning technology community and to enable effective innovation and competitive advantage of Corning products.
• Work independently or as part of the team on data preparation, machine learning model development and testing and/or software development & modifications in support of Corning products.
• Build/develop supervisory control layer for calculating optimal setpoints for process control in a manufacturing system; this will require coordinating and synchronizing the existing physics-based/first-principles models to provide an overall plant process view.

Education & Experience: Master or PhD degree in Computer Science/Information Engineering, Chemical Engineering, Mechanical Engineering or Statistics and Data Science. Required Skills:

• Familiar with Machine Learning, Statistical Modeling, Deep Learning (Nature Language/Image/Time Series) model/algorithm.
• Proficient programming skills in Python, SQL, MATLAB or C#
• Familiar with MLOps practices and machine learning frameworks (e.g., TensorFlow, PyTorch).