Machine Learning Engineer (Generative AI)

Sourced from jobnet.com.au

Applied Materials is seeking a Senior Generative AI Engineer to develop and align large language models tailored for materials science and hardware design. You will lead the creation of domain-specific algorithmic solutions, curate scientific datasets, and drive innovation in AI-accelerated discovery. This role combines cutting-edge LLM research with practical engineering to solve complex scientific challenges.

• Develop, pretrain, fine-tune, and align LLMs for scientific and materials science workflows.
• Innovate post-training methods and evaluation protocols for robust, trustworthy domain-specific models.
• Design generative approaches to accelerate materials discovery and hypothesis generation.
• Collaborate with cross-functional teams to translate frontier AI research into high-value applications.
• Build and curate scientific datasets, benchmarks, and evaluation standards.
• Mentor junior engineers and foster a collaborative research culture.

• MS or Ph.D. in Computer Science, Engineering, Mathematics, Statistics, or related field.
• Strong background in machine learning, deep learning, NLP, and generative AI.
• Hands-on experience with LLM pretraining, supervised fine-tuning (SFT), and alignment techniques like RLHF.