Application Engineer (AI/ML Fault Detection Solutions) III - (E3)

lead the deployment of AI FD/R2R solutions and collaborate with customers to develop successful case studies of AI applications using their data.

You will collaborate closely with cross-functional teams-including process engineers, product managers, and analytics experts-to provide efficient, accurate, and scalable FD/R2R applications. Responsibilities include engaging in pre-sales activities, delivering technical presentations, supporting system integration efforts, and participating in continuous improvement initiatives to optimize manufacturing processes.

Additional responsibilities include involvement in presales and deployment activities. These responsibilities are as follows:

• FD AI/ML Model Design and Development (main role)

  • Design and develop new FD/FP AI solution mentioned above.
  • Integrate AI/ML algorithms (e.g., Python + TensorFlow / PyTorch / Scikit-learn) with data analytics workflows within Applied Materials' SmartFactory framework or other advanced infrastructures.

• R2R Controller & AI/ML Model Design and Development (secondary role)

  • Design and develop new R2R controllers and Virtual Metrology modules, leveraging Neural Networks and machine learning models to optimize process control and improve manufacturing quality and yield.

• Deployment and System Integration

  • Assist or lead FD/FP and R2R/APC + AI/ML technology system integration, including MES, Dispatching, Scheduling, SPC, FDC, AMHS, Equipment Integration, IT, and Database systems.
  • Ensure that the deployment process meets customer IT security and performance requirements.

• Pre-sales Support & Customer Relationship Management

  • Engage in technical discussions during the pre-sales phase, assessing customer needs and recommending solutions.
  • Support technical presentations, system demonstrations, and customer training programs.

• Continuous Optimization & Technology Exploration

  • Collect and analyze project performance and impact, continuously improving and optimizing FDC/R2R and AI/ML solutions.
  • Stay up to date with the latest AI/ML, Virtual Metrology, Neural Network, and Advanced Manufacturing trends, evaluating and incorporating emerging technologies into company products and solutions.

• Act as a consultant to define working tasks and project scope for new customers seeking FD/FP and R2R services.

• Manage FD/FP and R2R projects or consolidate contracts of work if necessary.

Preferred Knowledge and Experience

• Possess expertise in semiconductor equipment. Experience in tuning and optimizing equipment for new process development is especially preferred.

• Familiar with semiconductor equipment maintenance, with proven experience leading teams to improve related operations-particularly through data-driven approaches and the application of AI/ML technologies to enhance current practices or solve problems.

• Operational knowledge of typical factory automation and equipment/process fault analysis and R2R control systems.

• Additional understanding of MES, Dispatching, Scheduling, SPC, FDC, AMHS, Equipment Integration, general information technology, and database technology is a plus.

• Proficiency in Python and C#, with experience using machine learning and deep learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).

• Strong knowledge of data science workflows, including data preprocessing, feature engineering, model development, evaluation, and deployment.

• Experience with data science is a plus.

• Hands-on experience in building and applying Virtual Metrology models using Neural Networks or other regression/classification methods for measurement prediction is a plus

• Expertise in statistical and multivariate analysis, including SPC, FDC, and other analytical tools is a plus.

• Ability to collaborate effectively with customers, technical teams, project managers, and stakeholders, ensuring high-quality and timely project delivery.

• Prior experience as a Project Manager (PM) or Technical Lead is a plus.

• Experience with Smart Factory or Industry 4.0 AI/ML model implementations is a plus.

• Experience with software development business processes is a plus

• Direct experience using SmartFactory E3 FDC/R2R is a plus.

Qualifications and Education

• Bachelor's degree in engineering or computer science & Master's degree in data science or AIML specialization

• Strong written and verbal communication skills.

• Knowledge of the semiconductor manufacturing business.

• Proficiency in English and Chinese.

Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.

Qualifications

Education:

Bachelor's Degree

Skills

Certifications:

Languages:

Years of Experience:

2 - 4 Years

Work Experience:

Additional Information

Shift:

Day (Taiwan)

Travel:

Yes, 25% of the Time

Relocation Eligible:

No

Referral Payment Plan:

Employee Referral (Standard)

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All 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.