Data Science Engineer, New College Grad- Master'sPhD (Santa Clara, CA)

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

Salary:

Location:

Youll 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.

Brief Job Description:

The position requires implementing deploying maintaining evaluating and benchmarking data science and software ideas and techniques that differentiate Applied Service offerings using semiconductor process data. The person will implement prototype user interfaces which host the advanced algorithms; and deploy test analyze and troubleshoot these applications worldwide at service sites. The position will entail the following:

• Assist in developing data science software prototypes and interfaces for monitoring semiconductor process tools
• Develop Python scripts to implement key concepts
• Deploy and maintain prototypes at service sites
• 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
• Translate algorithms from one language to another (e.g. from MATLAB to Python)
• Knowledge and application of statistical / data science techniques including both conventional Machine Learning i.e. decision trees regression
• Experience with various Artificial Intelligence Solutions including Large Language Models Computer Vision and Generative AI applications.
• Communicate and train field engineers on how to use prototype applications including writing documentation and creating audio and video tutorials for use for a variety of user types
• Be able to interpret data science conclusions and relate to practical process issues

Technical Skills:

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.

Key Responsibilities

• 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.

Functional Knowledge

• Demonstrates depth and/or breadth of expertise in own specialized discipline or field

Leadership

• May lead small functional teams or projects with moderate resource requirements risk and/or complexity

Problem Solving

• Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions

Impact

• Impacts the achievement of customer operational project or service objectives; work is guided by functional policies

Interpersonal Skills

• Communicates difficult concepts and negotiates with others to adopt a different point of view
• Ability to work effectively with variety of stakeholders within Applied Materials

Education:

• Masters or PhD in Computer Science Data Science Software Engineering Mechanical Engineering or related field.
• Preferred GPA of 3.0 or above

Applications will be reviewed on a rolling basis. Please apply by January 30 2026. Note: This position may close early based on application volume or candidate selection.

Additional Information

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Travel:

Relocation Eligible:

The 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.

In addition Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process please contact us via e-mail at or by calling our HR Direct Help Line at option 1 and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.