AI Research Scientist (Generative Models for Scientific Discovery)

Applied Materials

Actively hiring Posted this week
Santa Clara, CA Posted 3 days ago $131,000–$180,000 / 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. As a senior technical leader, you will develop, pretrain, fine-tune, and align large language models (LLMs) tailored for scientific data and workflows, ensuring robustness and accuracy through innovative post-training methods and evaluation techniques. You’ll collaborate with scientists and engineers to identify impactful applications of generative AI in materials science, design datasets and benchmarks, and publish original research. Proficiency in Python, PyTorch or TensorFlow, and a strong background in machine learning, deep learning, NLP, and generative AI is essential, along with excellent communication skills for interdisciplinary collaboration.

Skills

Python PyTorch TensorFlow LLMs NLP RLHF Generative AI Materials Science Machine Learning Deep Learning Scientific Datasets Benchmarks Evaluation Protocols

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, machine learning, and materials science advancements and publish research.
  • Mentor junior team members in a collaborative research environment.

What we're looking for

  • Strong background in machine learning and generative AI for scientific applications.
  • Experience with LLM pretraining, fine-tuning, alignment, and evaluation methods.
  • Hands-on experience with Python and deep learning frameworks like PyTorch or TensorFlow.
  • Ability to work with structured and unstructured scientific data and develop domain-specific models.
  • Proficiency in designing and implementing generative approaches for materials discovery and hardware design.
  • Publication record in top AI and machine learning venues related to scientific domains.
  • MS or Ph.D. degree in a relevant technical field such as Computer Science, Engineering, Mathematics, or Statistics.

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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