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