Generative AI Engineer for Materials Discovery

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

Job summary

Applied Materials, Inc. in Santa Clara, CA, is seeking an AI/ML researcher to develop and optimize generative models for materials science data.

You will lead pretraining, fine-tuning, and alignment of LLMs, collaborating with scientists and engineers to drive real-world impact in materials discovery and hardware design. The role emphasizes cutting-edge research, robust evaluation, and cross-disciplinary communication to translate frontier AI into practical AI-powered materials engineering

Qualifications

• MS or PhD in CS/CE/EE/Math/Stats or related field.
• Strong ML/DL/NLP background with focus on scientific domains.
• Experience with LLM pretraining, SFT, RLHF, and model evaluation.

Responsibilities

• Develop, pretrain, fine-tune, and align LLMs for scientific data and workflows.
• Innovate post-training alignment and evaluation for domain-specific LLMs.
• Design generative approaches to accelerate materials discovery and hardware design.
• Collaborate with scientists and engineers to apply AI to materials science.

Skills

Machine Learning

Deep Learning

NLP

Generative AI

LLM Pretraining

RLHF

Communication

Education

MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, Mathematics or Statistics

Tools

PyTorch

TensorFlow

Python

Job description

Applied Materials, Inc. in Santa Clara, CA, is seeking an AI/ML researcher to develop and optimize generative models for materials science data.

You will lead pretraining, fine-tuning, and alignment of LLMs, collaborating with scientists and engineers to drive real-world impact in materials discovery and hardware design. The role emphasizes cutting-edge research, robust evaluation, and cross-disciplinary communication to translate frontier AI into practical AI-powered materials engineering