AI Research Scientist (Generative Models for Scientific Discovery)

Applied Materials is a global leader in materials engineering solutions. We design, build, and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT.

Requirements

• 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.
• Stay current with advances in AI, machine learning, and materials science, and publish original research in top venues.
• Mentor junior team members and contribute to a collaborative, inclusive research culture.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Relocation Assistance