AI-Driven Intern: Root-Cause Analytics for CVD

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; In loco; SGD 16.000 - 23.000; Tempo pieno

Descrizione del lavoro

Micron Technology, Inc. in Singapore is offering a 5-month full-time internship in Process and Equipment Engineering (CVD).

The project focuses on applying AI/ML to incident analysis to convert unstructured logs into structured, actionable insights that improve workstation performance. You will train models, classify incidents, and collaborate with cross-functional teams including production, equipment, and planning to validate solutions, with opportunities for future employment depending on

Competenze

• Strong analytical, logical, and critical-thinking skills with an interest in semiconductor manufacturing and engineering problem-solving.
• Effective communication and collaboration skills for cross-functional engagement.
• Familiarity with Python, machine learning, Generative AI, or Large Language Models is preferred.
• Pursuing a bachelor’s or advanced degree in Chemical, Electrical, Mechanical, Materials, Computer, Data Science, Applied Mathematics, Physics, or related field.

Mansioni

• Prepare, classify, and analyze incident inputs from equipment alarms, Fault Detection and Classification systems, SPC records, and ETI.
• Train AI/ML models to interpret technical context and human-written terminology in incident logs.
• Develop methods to group incidents into Pareto categories and identify recurring failure signatures.
• Evaluate integration concepts between ETI and Microsoft Teams for incident validation.

Conoscenze

Analytical thinking

Communication skills

Python / ML interest

AI literacy

Formazione

Bachelor's or advanced degree in a related field

Strumenti

Python

Descrizione del lavoro

Micron Technology, Inc. in Singapore is offering a 5-month full-time internship in Process and Equipment Engineering (CVD).

The project focuses on applying AI/ML to incident analysis to convert unstructured logs into structured, actionable insights that improve workstation performance. You will train models, classify incidents, and collaborate with cross-functional teams including production, equipment, and planning to validate solutions, with opportunities for future employment depending on