AI Research Scientist - Algorithm

About the role

AI Research Scientist - Algorithm at Applied Materials. Develop, pretrain, fine-tune, and align LLMs and generative models tailored for scientific and materials science data, literature, and workflows.

What you'll do

• 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

What you need

• 1–3 years in data science & ai
• Research
• Machine learning
• LLMs
• Python
• Deep learning
• NLP
• PhD or B.Tech or B.E. or B.Sc or BCA

Good to have

• PyTorch
• TensorFlow