This role pays less than
79%
of similar roles. Most pay
$162,000–$239,940
— the shaded band above.
At the midpoint, this role pays about
$156k
versus about
$201k
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
132 open roles
on FindRole.
Listed pay typically runs
$132,750–$182,500
across 132 roles with salary data.
The AI Materials Research Engineer joins a team focused on accelerating semiconductor materials discovery through Scientific AI, Computational Materials Science, and Machine Learning. This role involves developing AI/ML models for property prediction, screening, optimization, and generative design while building surrogate models to accelerate simulation-driven research. The engineer will create informatics pipelines integrating experimental data, characterization results, and scientific literature, while also developing agentic workflows for hypothesis generation and experiment planning. Key technical requirements include proficiency in Python, PyTorch, TensorFlow, and Scikit-Learn, alongside experience with DFT, Molecular Dynamics, Kinetic Monte Carlo, and Phase-field modeling. The role addresses the challenge of discovering next-generation materials and process innovations within the semiconductor industry by combining material science expertise with advanced computational methods like Graph Neural Networks and Physics-Informed Machine Learning to solve complex material discovery problems.