AI Research Scientist (Generative Models for Scientific Discovery)

Applied Materials

Actively hiring Posted this week
Santa Clara, CA Posted 4 days ago $184,000–$253,000 / year
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At a glance

AI generated

TL;DR

Join our passionate cross-functional team at the forefront of applying AI and machine learning to accelerate scientific and materials innovation, where you will develop, pretrain, fine-tune, and align large language models (LLMs) tailored for scientific data and workflows. You will innovate post-training methods, design generative approaches to speed up materials discovery, and collaborate with scientists and engineers to identify impactful applications of AI in materials science. Key responsibilities include building and curating datasets, staying current with advances in AI and publishing research, all while mentoring junior team members. The ideal candidate has a strong background in machine learning, deep learning, NLP, and generative AI, proficiency in Python and frameworks like PyTorch or TensorFlow, and experience working with scientific data. This role requires an MS or Ph.D. degree in a relevant field and offers the opportunity to drive innovation at the intersection of cutting-edge technology and groundbreaking science.

Skills

Python PyTorch TensorFlow LLM NLP RLHF Generative AI Machine Learning Deep Learning Scientific Datasets Benchmarks Evaluation Protocols CI/CD

What you'll do

  • Develop and fine-tune large language models for scientific and materials science applications.
  • Innovate post-training methods to ensure domain-specific LLMs are robust and trustworthy.
  • Design generative approaches to accelerate materials discovery and hardware design.
  • Build and curate scientific datasets and benchmarks for model validation.
  • Stay current with AI advancements and publish original research in top venues.
  • Mentor junior team members and foster a collaborative research culture.

What we're looking for

  • Strong background in machine learning, deep learning, NLP, and generative AI.
  • Experience with LLM pretraining, fine-tuning, alignment, and evaluation methods.
  • Hands-on experience working with scientific data and developing domain-specific models.
  • Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
  • MS or Ph.D. degree in a relevant technical field such as Computer Science or Engineering.
  • Excellent communication skills for collaboration across disciplines.
  • Stay current with AI, machine learning, and materials science advancements.

Employer

About Applied Materials

Applied Materials is the world''s largest supplier of equipment, services, and software for the semiconductor and display industries, enabling the production of chips and advanced displays. Industry: Semiconductor Equipment

Applied Materials currently has 73 open roles on FindRole.

Listed pay typically runs $141,000–$193,500 across 73 roles with salary data.

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