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
Salary:
$0.00 - $0.00
Location:
Santa Clara,CA
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.
About the Role
Develop logic and automation to support Applied Materials’ service business growth and data-driven decision-making. Apply machine learning (ML) and large language models (LLMs) with advanced mathematical and statistical methods to solve complex, correlated problems.
We are looking for a curious, creative, detail-oriented, and eager to learn new graduate student to work closely with experienced engineers to explore real-world semiconductor equipment data, develop analytical logic and applications for broader adoption.
Key Responsibilities
1. Data Analysis and Automation
- Analyzing parts performance to develop accurate analysis and forecasting.
- Developing end-to-end workflow automation to convert manual projects to a digital product. Build a user-friendly interface and create useful visualizations, summary tables, and automated reports.
- Leverage ML algorithms and LLMs to improve benchmarking and uncover actionable opportunities.
2. Validation and Continuous Improvement
- Validate outputs against known data and engineering expectations.
- Propose enhancements to logic, workflow, and application functions.
- Provide ideas for how the prototype application can be integrated into future production systems.
- Build knowledge base, enable service innovation and support intelligent fab outcomes.
Requirements
- Strong proficiency in Python programming, with demonstrated experience in machine learning and LLM technologies. Experience of applying Python to real-world applications is a plus.
- Solid analytical and problem‑solving abilities.
- Familiarity with databases and data modeling concepts.
- Understanding of statistical concepts. Knowledge of semiconductor equipment or manufacturing is a plus
B.S. in Computer Science, Statistics, Industrial Engineering, Electrical Engineering, Physics, Mathematics, or related STEM fields.
Additional Information
Time Type:
Full time
Employee Type:
New College Grad
Travel:
No
Relocation Eligible:
Yes
The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.
For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.
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.
In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.