AI Research Intern
Applied Materials
Job Overview
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Job Description
Who We Are
Applied Materials is a global leader in materials engineering solutions, essential for producing virtually every new chip and advanced display worldwide. We design, build, and service cutting-edge equipment that enables our customers to manufacture semiconductor chips and displays – the brains of the devices we use daily. As a foundational pillar of the global electronics industry, Applied Materials facilitates exciting technologies like AI and IoT that literally connect our world. If you are passionate about pushing 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 will thrive in a supportive work culture that promotes continuous learning, development, and career growth as you tackle complex challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible, fostering daily learning within a supportive, leading global company. Explore our Careers website to learn more.
At Applied Materials, we prioritize the health and wellbeing of our employees. We are dedicated to providing programs and support that encourage personal and professional growth, caring for you at work, at home, and wherever you may be. Discover more about our benefits.
Additional Information
- Time Type: Full time
- Employee Type: Intern / Student
- Travel: No
- Relocation Eligible: No
The compensation for a selected candidate will be determined by multiple factors, including location, hire grade, job-related knowledge, skills, and experience, as well as considering the 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, where applicable.
For all sales roles, the posted salary range represents the Target Total Cash (TTC) range, 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.
Furthermore, Applied Materials strives to make our careers site accessible to all users. If you require assistance with website accessibility or 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 exclusively for accommodation requests and cannot be used to inquire about application status.
Key skills/competency
- AI Research
- Machine Learning
- Deep Learning
- Data Analysis
- Algorithm Development
- Materials Science
- Semiconductor Technology
- Problem Solving
- Innovation
- Python Programming
How to Get Hired at Applied Materials
- Research Applied Materials' culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor. Understand their commitment to innovation in materials engineering.
- Tailor your resume for AI Research: Customize your resume to highlight AI, machine learning, data science, and research project experience. Emphasize how your skills align with semiconductor and display technology.
- Showcase relevant projects: Prepare to discuss specific AI research projects, internships, or academic work where you applied machine learning or deep learning techniques, demonstrating practical experience.
- Prepare for technical interviews: Expect questions on AI algorithms, data structures, and problem-solving. Review fundamental machine learning concepts and be ready for coding challenges, potentially in Python.
- Demonstrate passion for innovation: Express your enthusiasm for contributing to groundbreaking materials engineering and AI advancements that connect the world.
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