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:

Location:
Santa Clara,CA

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. Visit our Careers website to learn more.

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. Learn more about our benefits.

This internship provides hands‑on 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/DL‑based computer vision algorithms
• Support feasibility studies through data analysis, literature review, and experimentation
• Develop proof‑of‑concept 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 Master's, 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 Tensor Flow, Py Torch, or similar
• Strong analytical, problem‑solving, and communication skills
• Ability to work effectively in a collaborative team environment
• Familiarity with AI‑assisted coding tools is preferred

Additional Information

Time Type: Full time

Employee Type: Intern / Student

Travel: No

Relocation Eligible:
No

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 members. In 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 Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, 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.