Who We Are

Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and Io T. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future. 

What We Offer

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At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our. 

You’ll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied.

台灣應用材料暑期實習專案
**申請資格：大學就學三年以上的在學學生（含碩、博士）；應屆畢業生即將進入職場者請勿投遞；若需繼續升學者請附上入學證明。
**申請文件 : 提供中英文履歷; 中文自傳(同步提供英文版更加分); 學校成績單; 專業認證證照或作品集。
**收件期間 : 2025/2/1 - 2025/4/15 (面試若符合資格，優先給予錄取通知)。

**附加條件：
1. 實習期間：2025/7/1-2025/8/31。
2. 實習期間之交通與住宿需自理。
3. 實習期間，須全程參與，若無法承諾及配合，請勿投遞。
4. 實習尾聲，須提交報告，分享實習成果，方可領取結業證書。並正式納入公司人才庫。
5. 工作待遇：大學生月薪台幣42,000元，碩士生月薪台幣48,000元，博士生月薪台幣53,000元。

Key Responsibilities

Image recognition with deep learning for MFG-staging capacity auto-analyzation Automation of staging operation area utilization analyzation with camera

1. Study staging operation and optimize staging utilization performance.

2. Develop Image Recognition program with deep learning for above analyzation

3. Study MFG tool/equipment at manufacturing scenario, and conduct IOT solution proposals

Finals Review :

1. Interns will present their projects.

2. Managers will review the interns' capability. Outperforming interns will receive early offer.

Requirements

Skill : C#, Python, Deep Learning, Image Processing/Recognition

Knowledge : C# application(required), data analysis, AI practice/knowledge is plus

Experience : eep Learning, Image Processing/Recognition

Education (Major/Degree) : Computer science/electrical / industry engineering degree (the fourth year of college students or above)

Additional Information

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Relocation Eligible: