Responsibilities
AI/ML Transformation Leadership
Identify high‑value opportunities where AI/ML can accelerate research, reduce cost, expand design space, or improve decision‑making in Global Research processesSource and configure AI/ML capabilities into existing research and engineering workflows, including mechanical and electrical engineering design, chemistry and other scientific research and software and algorithm developmentSupport the use of AI/ML to unlock institutional knowledge from internal data and documentationEstablish best practices, standards, and metrics to ensure successful and measurable AI/ML adoptionHelp establish training materials, documentation, and ongoing learning programs to sustain long‑term capability growthAI/ML Research Leadership
Apply advanced techniques such as Bayesian optimization, surrogate modeling, generative modeling, and data‑driven experimental designSer...