Customer Engineer - Data Analytics Internship
Who We Are
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology.
What We Offer
Location:
Singapore,SGP
You'll 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.
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.
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Traineeship Project Description:
Typically as part of routine maintenance, tools undergo conditioning after a maintenance event. This conditioning typically follows a fixed set of processes which take fixed material and time.
This project aims to enhance the detection and conditioning quality to reduce overall material and maintenance time. The intern will work with process engineers, data scientists and field engineers to analyze sensor data streams, develop and validate algorithms that accurately identify when conditioning is complete, and explore dynamic conditioning methods. The intern will contribute to building data pipelines, running experiments, and refining detection models to improve process consistency and product quality.
Preferred Discipline:
Materials Science & Engineering
Mechanical Engineering
Desired Skills Required:
Programming in Python; Basic knowledge of machine learning and data analysis; Understanding of physics principles related to sensing and measurement; Familiarity with data visualization tools; Ability to interpret experimental results and draw conclusions. Familiarity with semiconductor manufacturing processes.
Learning Outcome:
The intern will develop hands-on experience in applying machine learning and data analysis techniques to real industrial problems. They will gain exposure to sensor technologies, process engineering workflows, and cross-functional team collaboration. The intern will strengthen their programming skills and build practical knowledge of how applied physics and chemistry principles apply in a manufacturing environment.
Additional Information
Time Type:
Full time
Employee Type:
Intern / Student
Travel:
No
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.
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA With Employer Contribution
- HSA With Employer Contribution
- Health Reimbursement Account
- FSA
- HSA
- On-Site Gym
- Pet Insurance
- Mental Health Benefits
Parental Benefits
- Birth Parent or Maternity Leave
- Fertility Benefits
- Adoption Leave
- Non-Birth Parent or Paternity Leave
- Adoption Assistance Program
- Family Support Resources
- On-site/Nearby Childcare
Work Flexibility
- Flexible Work Hours
- Work-From-Home Stipend
Office Life and Perks
- On-Site Cafeteria
- Commuter Benefits Program
- Casual Dress
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Unlimited Paid Time Off
- Leave of Absence
Financial and Retirement
- 401(K) With Company Matching
- Stock Purchase Program
- 401(K)
- Performance Bonus
- Relocation Assistance
- Financial Counseling
Professional Development
- Tuition Reimbursement
- Access to Online Courses
- Internship Program
- Work Visa Sponsorship
- Associate or Rotational Training Program
- Promote From Within
- Mentor Program
- Shadowing Opportunities
Diversity and Inclusion