Generative AI Engineer for Scientific Discovery

Applied Materials; Santa Clara (CA); On-site; USD 131,000 - 180,000; Full time

Job summary

Applied Materials in Santa Clara, CA, is seeking a candidate with an MS or PhD to lead research on generative AI for materials science. You will develop, pretrain, fine-tune, and align LLMs for scientific data, literature, and workflows, collaborating with scientists and engineers.

Responsibilities include designing evaluation protocols, building datasets, and publishing results. You will mentor junior researchers and contribute to a collaborative culture while advancing AI to accelerate

Qualifications

• MS or PhD in CS, CE, EE, Math or related field.
• Experience in ML, NLP, and generative AI for scientific domains.
• Ability to develop, evaluate and deploy domain-specific AI models.

Responsibilities

• Develop, pretrain, fine-tune, and align LLMs for scientific data.
• Innovate alignment and evaluation methods for domain models.
• Design generative approaches to accelerate materials discovery.
• Collaborate with scientists and engineers to apply AI in materials science.
• Build datasets, benchmarks, and evaluation protocols.
• Stay current with AI and materials science advances and publish research.
• Mentor junior team members and contribute to an inclusive culture.

Skills

ML

NLP

Generative AI

Python

PyTorch/TensorFlow

Scientific data handling

Research leadership

Education

MS or PhD in CS/CE/EE/Math/Stats

Tools

PyTorch

TensorFlow

Job description

Applied Materials in Santa Clara, CA, is seeking a candidate with an MS or PhD to lead research on generative AI for materials science. You will develop, pretrain, fine-tune, and align LLMs for scientific data, literature, and workflows, collaborating with scientists and engineers.

Responsibilities include designing evaluation protocols, building datasets, and publishing results. You will mentor junior researchers and contribute to a collaborative culture while advancing AI to accelerate