Intern - Metro

Our vision is to transform how the world uses information to enrich life for all .
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Project Title
Automated Defect Classification 2.0
Description
The Automated Defect Classification (ADC) 2.0 project aims to improve the accuracy and efficiency of defect detection across multiple inspection platforms, including ATI Wind, Dragonfly, and Sam Scan. The primary goal is to train advanced ADC models and validate their performance to ensure consistent and reliable defect classification in the production line. This involves using brand new machine learning techniques to automate the identification and categorization of defects, thereby reducing human error and improving overall inspection quality.
Scope

• Engage with Multiple Teams and Departments : Collaborate with various teams, including Engineering, IT, QA, and SMAI, to gather diverse expertise and insights for model training.
• Use RDAViewer for Data Verification : Apply RDAViewer to verify the accuracy of defect data and ensure the integrity of the training dataset.
• Data Collection and Analysis for Qualification : Collect and analyze defect data to qualify the ADC models, ensuring they meet the required performance standards.
• Model Optimization : Continuously refine and optimize the ADC models based on feedback and performance metrics.
• Cross-Platform Integration : Ensure seamless integration of ADC models across ATI Wind, Dragonfly, and Sam Scan platforms.
• User Training : Provide training sessions for team members on how to use and interpret the ADC models.
• Documentation : Maintain comprehensive documentation of the model training process, data verification, and analysis procedures.

Supporting Team

• Engineering team
• IT Team
• QA Team
• SMAI Team
• Manufacturing Team

Deliverables

• ONTO Dragonfly Autoshell :
  1. Draft or update a step - by - step user work aid using existing Autoshell procedure references for MMY usage.
  2. Compile UAT test notes, screenshots, exceptions, and change notes for engineering/IT review during UAT readiness and implementation monitoring stages.
• ADC at Dragonfly and Sonoscan :
  1. Complete one ADC model for high runner products each machine model
  2. Weekly Model Data Verification : Conduct weekly verification of model data to ensure ongoing accuracy and reliability.
  3. Performance Reports : Generate detailed performance reports for each model, highlighting accuracy, precision, recall, and other relevant metrics.
  4. User Manuals : Create user manuals and guidelines for the ADC models to assist team members in utilizing the models effectively if necessary.
  5. Issue & fix tracking log

Stretch Goal

• MAM Process Flow Update : Update the Manufacturing Automation Management (MAM) process flow to integrate the new ADC models.

Requirement

• Currently pursuing a degree in Metrology, Engineering, Materials Science, or a related field.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
• Excellent written and verbal communication skills to effectively collaborate with cross-functional teams and document processes.
• Ability to work collaboratively in a team environment and contribute to the success of the project.

About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
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