AI Research Scientist (Generative Models for Scientific Discovery)

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: $133,500.00 - $180,000.00 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. Key Responsibilities Develop or improve an algorithmic feature or a Matlab (system or product) feature, including research, design, development and implementation & proliferation accompanying in accordance with project budgets and time schedules. Perform algorithmic C&F for an algorithmic feature, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains Provide information needed for construction of work plans for his own features Document algorithmic development, take part in planning and accompany implementation, integration and testing of an algorithmic module Interact with internal and external customers to assist in gap analysis, activity definitions, data collection and accompany integration, testing and proliferation of algorithmic solutions Understand system and applicative environment regarding own feature, take part in system definitions Functional Knowledge Demonstrates expanded conceptual knowledge in own discipline and broadens capabilities Business Expertise Understands key business drivers; uses this understanding to accomplish own work Leadership No supervisory responsibilities but provides informal guidance to new team members Problem Solving Solves problems in straightforward situations; analyzes possible solutions using technical experience and judgment and precedents Impact Impacts quality of own work and the work of others on the team; works within guidelines and policies Interpersonal Skills Explains complex information to others in straightforward situations Additional Information Time Type: Full time Employee Type: New College Grad Travel: Yes, 10% of the Time Relocation Eligible: Yes 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 [email protected], 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.