Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale helps our customers - who make smartphones, supercomputers, virtual reality headsets, autonomous vehicles and more - transform their ideas into reality. Our innovations Make Possible® a Better Future.
Inside our company, we apply the idea of make possible as we work together. We value our people and teams who turn possibilities into reality by advancing our strategy, accomplishing great things and empowering others. We are deeply committed to fostering a Culture of Inclusion where every person knows they belong, feels empowered to bring their whole self to work, and is inspired to grow.
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TEAM OVERVIEW:
Applied Materials' Service Department is searching for an intern to join our team in Summer 2025! The position requires implementing, deploying, maintaining, evaluating, and benchmarking machine learning and software ideas and techniques that differentiate Applied Service offerings using semiconductor process data.
KEY RESPONSIBILITIES:
- Develop code to automate tool service package analytics
- Apply existing and novel machine learning techniques, including LLM, to critical service issues to improve productivity and lower cost
- Develop Python scripts to implement key concepts.
TECHNICAL SKILLS:
- Knowledge and application of statistical / data science techniques, including both conventional Machine Learning, i.e., decision trees, regression, and deep learning
- Experience and fundamental understanding of AI architectures and principles, including Generative AI
- Python programming experience
- Familiarity with Generative AI data and Algo structures, e.g., PyTorch, Llama3, etc...
- Proficient in general programming principles.
REQUIREMENTS/EDUCATION:
- Student must be pursuing a Master's degree program in Computer Science, Mathematics, or a related field
- Student must be in good academic standing at their university, with a GPA of 3.0 or above on a 4.0 scale
- Quick learner
- Ability to present and communicate to technical audiences
COMPENSATION
$31-36 per hour
The rate offered to a selected candidate will be based on a number of factors including location and education level and will vary depending on confirmed job-related knowledge, skills, and experience.
Qualifications
Education:
Master's Degree (Required)
Skills
Certifications:
Languages:
Years of Experience:
Up to 1 Year
Work Experience:
Additional Information
Shift:
10-Day 8-Hr (United States of America)
Travel:
No
Relocation Eligible:
No
Referral Payment Plan:
None
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.