Algorithm Developer Intern

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

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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.

This internship provides handson experience in the research development and prototyping of computer vision and machine learning algorithms for semiconductor applications. The intern will work under the guidance of senior engineers and contribute to algorithm development efforts supporting defect detection classification metrology and image analysis.

Key Responsibilities

• Assist in the evaluation and prototyping of classical and ML/DLbased computer vision algorithms
• Support feasibility studies through data analysis literature review and experimentation
• Develop proofofconcept implementations to address real customer use cases
• Collaborate with software systems and applications teams to help integrate and test algorithm solutions
• Participate in performance analysis and optimization of algorithms for efficiency and scalability

Minimum Qualifications

• Currently pursuing a Masters or Ph.D. degree in Computer Science Electrical Engineering or a related field
• Coursework or project experience in computer vision image processing machine learning or deep learning
• Programming experience in Python and/or C/C
• Familiarity with ML/DL frameworks such as TensorFlow PyTorch or similar
• Strong analytical problemsolving and communication skills
• Ability to work effectively in a collaborative team environment
• Familiarity with AIassisted coding tools is preferred

Additional Information

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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.