Machine Learning Engineer; Generative AI

We are seeking a research scientist to develop and deploy generative AI models for scientific and materials science applications.

• Develop, pretrain, fine‑tune, and align large language models (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.
• Stay current with advances in AI, machine learning, and materials science, and publish original research in top venues.
• Mentor junior team members and contribute to a collaborative, inclusive research culture.

• Strong background in machine learning, deep learning, NLP, and generative AI with a focus on scientific or technical domains.
• Hands‑on experience with LLM pretraining, supervised fine‑tuning (SFT), post‑training alignment (e.g., RLHF), and rigorous model evaluation.
• Proficiency in Python and frameworks such as PyTorch or Tensor Flow.
• Experience working with structured and unstructured scientific data (literature, experimental results, simulation outputs) and developing domain‑specific models.
• Excellent communication skills, with the ability to collaborate across disciplines and present complex ideas to diverse audiences.

• MS or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Statistics, or a related field.

Salary: $ – $

Location:

Santa Clara, CA.
Relocation Eligible:
Yes.
Travel:
Yes, up to 10% of the time.
In addition to a comprehensive benefits package, candidates may be eligible for bonus and stock award programs.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. Applied endeavors to make our careers site accessible to all users.