Data Scientist Year Round Intern - BS/MS degree (Santa Clara, CA)

Applied Materials•Santa Clara, CA

9d•Onsite

About The Position

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. 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. 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. The position requires developing data science, control solutions and software ideas / techniques that differentiate Applied Service offerings using semiconductor process data. The person will develop, test and analyze advanced algorithms, and implement those solutions with prototype user interfaces which will allow these applications to be tested worldwide at service sites.

Requirements

Student must be pursuing a Bachelor’s, or Master’s degree program in Materials Science & Engineering, Mechanical Engineering, Chemical Engineering, Chemistry, Physics, Data Science, Computer Science.
Student must be in good academic standing at their university, with a GPA of 3.5 or above on a 4.0 scale

Nice To Haves

Experience in software development, or semiconductor processing or manufacturing preferred
Quick learner

Responsibilities

Assist in developing data science software prototypes and interfaces for monitoring semiconductor process tools using Smart Manufacturing techniques such as Predictive Analytics and Digital Twin
Develop Python scripts to implement key concepts
Knowledge and application of statistical / data science techniques, including both conventional Machine Learning, i.e., decision trees, regression, and Artificial Intelligence, i.e., neural nets
Ability to comprehend recent AI/ML papers and provide steps to reproduce similar results
Ability to present findings to technical audience and publish papers