2026 Summer Intern Program : Algorithm Developer (演算法研發工程師)

Applied Materials Inc

4

(2)

Hsinchu, Taiwan

Why you should apply for a job to Applied Materials Inc:

  • 4/5 in overall job satisfaction
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Unlimited Flexible Time Off and work schedules allow US employees to better balance commitments at both work and home.
  • Applied offers parental, adoption, fertility, menopause, and lifestyle benefits to support employee health at every stage.
  • #R2611570

    Position summary

    r 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.

    At Applied Materials, we care about the health and wellbeing of our employees. 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 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

    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, images...etc.)

    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 time

    Employee Type:
    Intern / Student

    Travel:
    Not Specified

    Relocation Eligible:
    No

    Applied 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.

    Why you should apply for a job to Applied Materials Inc:

  • 4/5 in overall job satisfaction
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Unlimited Flexible Time Off and work schedules allow US employees to better balance commitments at both work and home.
  • Applied offers parental, adoption, fertility, menopause, and lifestyle benefits to support employee health at every stage.