Develop logic and automation to support Applied Materials’ service business growth and data-driven decision-making. Apply machine learning (ML) and large language models (LLMs) with advanced mathematical and statistical methods to solve complex, correlated problems. We are looking for a curious, creative, detail-oriented, and eager to learn new graduate student to work closely with experienced engineers to explore real-world semiconductor equipment data, develop analytical logic and applications for broader adoption.
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Job Type
Full-time
Career Level
Entry Level