Develop and productize advanced deep learning and optimization algorithms for semiconductor equipment processing workflows. Collaborate with domain experts to identify high-value process challenges and translate them into well-defined data science problems with clear assumptions, objectives, and accuracy requirements. Apply advanced modeling and optimization techniques to extract actionable insights from sparse, noisy, and highly complex process spaces. Design and implement scalable, generalizable algorithms; define specifications for productization and deployment. Communicate complex analytical concepts and insights effectively to diverse audiences, including leadership and cross-functional teams. Partner with internal groups to analyze experimental data and deliver actionable intelligence. Strong foundation in machine learning techniques, including deep learning, regression, classification, clustering, and Bayesian optimization.