Data Science Engineer, New College Grad- Master's/PhD (Santa Clara, CA) at Applied Materials

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

0.0

Posted On

12 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, MATLAB, Data Science, Artificial Intelligence, Large Language Models, Computer Vision, Generative AI, Regression, Decision Trees, Neural Networks, Time-Series Techniques, Bayesian Techniques, Troubleshooting, DevOps, Semiconductor Process, Communication

Industry

Semiconductor Manufacturing

Description

Assist in developing data science software prototypes and interfaces for monitoring semiconductor process tools Develop Python scripts to implement key concepts Collaborate closely with algorithm developers to characterize the algorithms and benchmark their performance, collecting quantitative data assessing effectiveness Evaluate the effectiveness and accuracy of the algorithms by working closely with process and equipment experts, providing feedback to algorithm developers Provide solutions which can be implemented by engineers without a deep statistical or mathematical background Deploy and maintain solutions at service sites Troubleshoot solutions, provide workarounds, and assist users in using solutions Assess effectiveness of solutions and provide data science insight Communicate well with algorithm developers and process experts Train field engineers to use solutions Present work and conclusions clearly and succinctly to peers Work well in team, providing and receiving constructive input with team members Monitor and quantify the results of complex algorithms in a production environment. Train a variety of individuals on the operation of these algorithms. Experience with various Artificial Intelligence Solutions, including Large Language Models, Computer Vision and Generative AI applications. Python, MATLAB Familiarity with common data science techniques, including regression, decision trees, Principle components, PLS, various Neural networks, time-series techniques, Bayesian techniques, etc. Ability to troubleshoot software applications and perform basic DevOps for deployment Ability to interact with Process and Customer Engineers Semiconductor process or equipment experience preferred. Demonstrates depth and/or breadth of expertise in own specialized discipline or field May lead small functional teams or projects with moderate resource requirements, risk, and/or complexity Communicates difficult concepts and negotiates with others to adopt a different point of view Master's or PhD in Computer Science, Data Science, Software Engineering, Mechanical Engineering, or related field. Preferred GPA of 3.0 or above

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Responsibilities

Assist in developing data science software prototypes and interfaces for monitoring semiconductor process tools. Collaborate closely with algorithm developers to characterize algorithms and benchmark their performance.