Job Title:Materials Science Ai Engineer
Location: Santa Clara, CA
Number of days onsite - 5 Days
Need candidates with a PhD (Material Science or Machine learning preferred)
Must Have Skills
Skill 1 - Strong proficiency in programming languages like Python and C++.
Skill 2 - Experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow).
Skill 3 - Experience with data cleansing, preprocessing, and feature engineering
Good To have Skills
Skill 1 - Design, develop and deploy multi-modal AI, ML, and hybrid physical-based models to solve ground-breaking material physics and design problems
Key Responsibilities
• Design, develop and deploy multi-modal AI, ML, and hybrid physical-based models to solve ground-breaking material physics and design problems.
• Aggregate, process, transform and quality-control experimental and simulation data for modeling and analysis.
• Design, develop, and maintain data workflows to support materials informatics initiatives. Optimize data pipelines and model execution on parallel cloud systems (e.g., Azure, GCP, AWS).
• Collaborate with materials scientists, chemists, and software engineers to integrate analytics and predictive modeling into core R&D workflows.
• Document code, workflows, and best practices to support reproducible research.
• Apply AI and data analytics to optimize material synthesis and processing parameters in real-time, minimizing defects, improving consistency.
Technical Skills:
• Strong proficiency in programming languages like Python and C++.
• Experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Knowledge of generative modeling techniques and architectures (e.g., GANs, VAEs, transformers).
• Knowledge of MLOps, model deployment pipelines, and CI/CD.
• Experience with data cleansing, preprocessing, and feature engineering