ENGINEER, MTB PI
Core
Drive yield improvement and process integration optimization through data-driven methodologies and AI-assisted analytics in semiconductor manufacturing.
Role type
Machine Learning Engineer (Semiconductor Manufacturing)
Builds
Predictive models for yield forecasting, defect prevention, and process stability monitoring; AI-enabled monitoring systems.
Domain
Semiconductor manufacturing / AI / Data Science
Deliverable
production ML models
Required skills
Machine learning, AI tools, predictive modeling, data analysis, root cause investigation, Generative AI, statistical process control (SPC), fault detection & classification (FDC), advanced process control (APC)
Preferred skills
None stated
Technologies
None explicitly listed
Responsibilities
Drive yield improvement and process integration optimization; Apply ML/AI to identify process excursions and defects; Develop predictive models; Leverage AI platforms for root cause analysis; Collaborate with Data Science and Manufacturing teams; Support implementation of APC, SPC, FDC, and AI monitoring systems; Utilize Generative AI for productivity and reporting.