AI Intern - AZPI6 at Applied Materials in Santa Clara,CA

Summary: Applied Materials is a global leader in materials engineering solutions. The AI Intern will develop and fine-tune large language models for scientific applications in materials science, collaborating with cross-functional teams to innovate generative approaches for materials discovery. Responsibilities: - Develop, pretrain, fine-tune, and align LLMs and generative models tailored for scientific and materials science data, literature, and workflows - Innovate post-training methods, alignment, and evaluation for domain-specific LLMs, ensuring models are robust, accurate, and trustworthy for scientific use cases - Design and implement generative approaches to accelerate materials discovery, hypothesis generation, and hardware design - Collaborate with scientists, engineers, and cross-functional teams to identify impactful applications of generative AI in materials science - Build and curate scientific datasets, benchmarks, and evaluation protocols for model validation and continuous improvement Required Qualifications: - Develop, pretrain, fine-tune, and align LLMs and generative models tailored for scientific and materials science data, literature, and workflows - Innovate post-training methods, alignment, and evaluation for domain-specific LLMs, ensuring models are robust, accurate, and trustworthy for scientific use cases - Design and implement generative approaches to accelerate materials discovery, hypothesis generation, and hardware design - Collaborate with scientists, engineers, and cross-functional teams to identify impactful applications of generative AI in materials science - Build and curate scientific datasets, benchmarks, and evaluation protocols for model validation and continuous improvement Required Skills: LLMs development, Generative models, Materials science Important Skills: Data curation Nice-to-Have Skills: Collaboration Benefits: Comprehensive benefits package, Participation in a bonus and a stock award program