2026 Summer Intern Program Algorithm Developer
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Job Location:
Taipei City - Taiwan
Monthly Salary:
Not Disclosed
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Job Summary
Who We Are
Applied Materials is a 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 IoT. If you want to push the boundaries of materials science and engineering to create next generation technology join us to deliver material innovation that changes the world.
What We Offer
Location:
HsinchuTWNYoull 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 possiblewhile learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials we care about the health and wellbeing of our employees. Were 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 benefits.
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 : 2026/2/1 - 2026/4/15 (面試若符合資格優先給予錄取通知)
**附加條件
1. 實習期間2026/7/1-2026/8/31
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42000元碩士生月薪台幣48000元博士生月薪台幣53000元
Key Responsibilities
Deep Learning-Based Metrology : Develop AI models to predict critical dimensions especially in z-direction from imaging data
1. Collect and preprocess imaging data to ground truth
2. Build and train deep learning models
3. Validate accuracy and benchmark against traditional methods
4. Deploy prototype in workflow
Simulation-Based Metrology : Create physics-based models correlating to imaging data to predict critical dimensions
1. Develop simulation framework
2. Calibrate parameters with experimental data
3. Run simulations and sensitivity analysis
4. Validate and optimize models
Crystal Ball: An utility to enable efficient missing defect analysis in Wafer Defect Inspection
1. Learn the basics of wafer defect inspection
2. Understand the localization of defects captured by competitions in our tool images
3. Improve the GUI of Crystal Ball e.g. adding progress bars wafer map visualization ...etc.
4. Improve input data parser efficiency to support differet formats of data (e.g. csv .)
Requirements
Skills:Proficiency in Python coding and problem-solving.
Knowledge:
- Strong understanding of machine learning deep learning & computer vision.
- Familiarity with semiconductor manufacturing is a plus but not required.
Experience:
- Hands-on experience applying machine learning or deep learning to real-world applications.
- Experience in computer vision is a plus.
Education: Master or Ph.D. degree in electrical engineering computer science or physics.
Additional Information
Time Type:
Full timeEmployee Type:
Intern / StudentTravel:
Not SpecifiedRelocation Eligible:
NoApplied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race color national origin citizenship ancestry religion creed sex sexual orientation gender identity age disability veteran or military status or any other basis prohibited by law.
Required Experience:
Intern
Key Skills
- Microsoft Office
- Public Relations
- Google Docs
- Data Collection
- MailChimp
- Microsoft Word
- Dermal Fillers
- Microsoft Powerpoint
- Research Experience
- Microsoft Excel
- Adobe Photoshop
- Writing Skills
About Company
Applied Materials, Inc. is the global leader in materials engineering solutions for the semiconductor, flat panel display and solar photovoltaic (PV) industries.
