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Data Scientist Year Round Intern - BS/MS degree (Santa Clara, CA) jobs in United States
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Applied Materials · 1 month ago

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

Applied Materials is a global leader in materials engineering solutions, seeking a Data Scientist Year Round Intern. The role involves developing data science software prototypes and interfaces for monitoring semiconductor processes using techniques such as Predictive Analytics and Digital Twin.
ElectronicsManufacturingSemiconductorSoftware
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H1B Sponsor Likelynote

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

Qualification

Data ScienceControl SolutionsSoftware DevelopmentSemiconductor Process DataPythonStatistical TechniquesMachine LearningArtificial IntelligenceNeural NetworksDecision TreesRegressionPredictive AnalyticsDigital TwinPresent findings to technical audience

Required

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

Preferred

Experience in software development, or semiconductor processing or manufacturing preferred

Benefits

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
Relocation Eligible: Yes
Travel: Yes, 10% of the Time

Company

Applied Materials

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Applied Materials is a semiconductor and display equipment company that offers materials engineering solutions.

H1B Sponsorship

Applied Materials has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
75%
Represents job field similar to this job
Engineering and Development
Management and Executive
Customer Service and Support
Accounting and Finance
Marketing
Product Management
Sales
Human Resources
Trends of Total Sponsorships
*2026 (181)
2025 (435)
2024 (465)
2023 (362)
2022 (429)
2021 (456)
2020 (354)

Funding

Current Stage
Public Company
Total Funding
$2.2B
Key Investors
U.S. Department of CommerceStonnington GroupUS Department of Energy
2025-02-24Post Ipo Debt· $2B
2025-01-16Grant· $100M
2023-06-27Post Ipo Equity· $0.38M

Leadership Team

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Gary Dickerson
President and Chief Executive Officer
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Omkaram Nalamasu
CTO and Senior VP of Applied Materials; President of Applied Ventures
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Company data provided by crunchbase