Data Science Optimization Intern
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Job Location:
Austin, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
5 days ago
Vacancies:
1 Vacancy
Job Summary
Who We Are
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips the brains of devices we use every day. As the foundation of the global electronics industry Applied enables the exciting technologies that literally connect our world like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology join us to deliver material innovation that changes the world.
What We Offer
Location:
AustinTX Santa ClaraCAYoull 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 possiblewhile 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. Were 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.
Role Overview
We are seeking highly motivated Data Science / Optimization Interns to work on AIdriven recipe and hardware optimization problems in semiconductor process applications. The role focuses on developing and applying machine learning and optimization techniques using physicsinformed and datadriven surrogate models with mentorship and training provided by experienced engineers and data scientists.
Responsibilities
- Develop and apply machine learning models for surrogate modeling of physical and engineering systems
- Support optimization algorithms for recipe and hardware parameter tuning
- Analyze simulation and experimental data to improve model accuracy and performance
- Build Pythonbased workflows for model training inference and evaluation
- Collaborate with engineers and scientists to translate engineering problems into datadriven models
- Document methods and results and present findings to technical stakeholders
Required Qualifications
- Currently pursuing a Bachelors degree in:
- Computer Science
- Data Science
- Electrical Mechanical or Chemical Engineering
- Applied Mathematics or a related technical field
- Strong programming skills in Python
- Understanding of machine learning fundamentals
- Coursework or handson experience in optimization numerical methods or scientific computing
- Ability to work with data debug models and learn quickly
Preferred Qualifications
- Exposure to optimization techniques (e.g. gradientbased methods Bayesian optimization)
- Experience working with simulation or experimental data
- Familiarity with NumPy SciPy scikitlearn or PyTorch
- Interest in applied engineering or manufacturing problems
What Youll Gain
- Handson experience applying AI and optimization to realworld engineering problems
- Exposure to physicsinformed machine learning and surrogate modeling
- Opportunity to work on advanced optimization problems in semiconductor manufacturing
- Close mentorship and technical growth in an R&D environment
Additional Information
Time Type:
Full timeEmployee Type:
Intern / StudentTravel:
NoRelocation Eligible:
NoThe 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 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.
Required Experience:
Intern
About Company
Applied Materials, Inc. is the global leader in materials engineering solutions for the semiconductor, flat panel display and solar photovoltaic (PV) industries.
