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Intern - Machine Learning Based Scatterometry

3 weeks ago

Singapore Micron Full time

**Our vision is to transform how the world uses information to enrich life for all.**

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

JR38031 INTERN - Machine learning based Scatterometry Optimization

**Location**:
1, North Coast Drive, Singapore 757432

**Department**:
Product Integration Engineering (PIE), Metrology

**Title of project**:
**I **mprovement plan on existing ML-based scatterometry framework and develop solutions in Python.

**Project Description**:
Scatterometry is a technique that uses light to measure critical dimension of a post-etch structure during wafer fabrication. Machine Learning (ML)-based scatterometry uses supervised learning model to evaluate the measurement value from the light information. Users run scripts to train these ML models, and the models are then deployed in production environment for real-time measurement evaluation. There is a constant need to improve the learning algorithm, improve user experience on model training and reduce lag in real-time evaluation.

**Scope**:
**Deliverable**:
To propose improvement plan on existing ML-based scatterometry framework and develop solutions in Python.

**Skillset Required**:

- Students pursuing Bachelor's degree in engineering,

**Course of interests**:

- Engineering

**Duration Period**:

- 6 months

**About Micron Technology, Inc.**

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.