Summer 2026 Computer Vision & ML Intern- Master's/PhD (Santa Clara, CA)
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.
Requirements
- Enrolled in a PhD or Master’s degree program in computer science, electrical engineering, or related departments.
- Working experience in OpenCV, PyTorch, able to build and validate ML image models.
- Academic background in computer vision and deep learning solutions for vision applications.
- Proficient in prototyping algorithms in Python and/or C++.
- Strong analytical, problem-solving skills, work in a team.
Nice To Haves
- Academic background in signal processing theory is a plus.
Responsibilities
- Explore traditional image analysis, computer vision and deep learning algorithms for semiconductor wafer defect detection and metrology.
- Work in a team to develop algorithmic software, evaluate and experiment with different solutions.
Benefits
- Comprehensive benefits package
- Participation in a bonus program
- Stock award program
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What This Job Offers
Job Type
Full-time
Career Level
Intern
