This role pays less than
89%
of similar roles. Most pay
$175,512–$247,071
— the shaded band above.
At the midpoint, this role pays about
$156k
versus about
$211k
for comparable roles.
Based on 240 similar postings.
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
128 open roles
on FindRole.
Listed pay typically runs
$132,750–$182,500
across 128 roles with salary data.
Machine Learning Engineer (Generative AI) joins a cross-functional team focused on applying advanced machine learning to accelerate scientific and materials innovation. The role involves developing, pretraining, fine-tuning, and aligning large language models and generative models specifically tailored for scientific data, literature, and workflows. You will design generative approaches to accelerate materials discovery, hypothesis generation, and hardware design while building curated scientific datasets and evaluation protocols. Key responsibilities include innovating post-training methods and collaborating with scientists and engineers to translate frontier research into practical applications. The position requires expertise in machine learning, deep learning, NLP, and generative AI using Python and frameworks like PyTorch or TensorFlow. This role addresses complex problems in materials science and scientific discovery by creating domain-specific algorithmic solutions for hardware design and material innovation within the semiconductor and display manufacturing space.
What does a Machine Learning Engineer earn in California?
Median $246394 from 172 postings across 28 companies.
LLM
PyTorch
TensorFlow
JAX
Transformers
MoE
Computer Vision
Natural Language Processing
Distributed Data Processing
Machine Learning
Deep Learning
OCR
Synthetic Data Generation
Data Curation
High Performance Computing