Product Engineer – AI/ML Yield & Quality Analytics

Micron Technology, Inc.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Micron Technology, Inc. is seeking a data analytics leader for the HIG HBM Product Engineering Advanced Data Analytics team in Singapore.

You will spearhead initiatives to boost yield and quality using machine learning and AI, while building robust data infrastructure and mentoring engineers. You will collaborate with Fab, HBM teams, IT, and Operations to deliver end-to-end data-driven solutions that improve KPIs such as quality, cost, and cycle time, with international travel to Taiwan as

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Artificial Intelligence, or related fields.

Responsibilities

• Lead cross-functional initiatives to significantly enhance yield and quality.
• Utilize ML/AI for data analysis to improve yields and reliability within the Dispo workflow.
• Develop algorithms for data mining, pattern recognition, and wafer/die level screening.
• Collaborate with IT/Manufacturing to build data infrastructure pipelines using cloud technologies.
• Foster innovation and mentor team members to maintain a competitive edge.
• Advocate AI/ML practices to improve KPIs like Quality, Cost, and Cycle Time.

Skills

Data analytics

Python

R

SQL

JavaScript

HTML

CSS

Machine Learning

AI/ML concepts

Communication

Education

Bachelor's or Master's in Engineering, Computer Science, Statistics, AI, or related field

Tools

JMP

Tableau

Power BI

TensorFlow

Scikit-learn

PyTorch

Job description

Micron Technology, Inc. is seeking a data analytics leader for the HIG HBM Product Engineering Advanced Data Analytics team in Singapore.

You will spearhead initiatives to boost yield and quality using machine learning and AI, while building robust data infrastructure and mentoring engineers. You will collaborate with Fab, HBM teams, IT, and Operations to deliver end-to-end data-driven solutions that improve KPIs such as quality, cost, and cycle time, with international travel to Taiwan as