Job Description
As an AI/ML Engineer at Reflective, you will be the technical lead for ML architecture and MLOps for our multi-scale modeling project, turning petabytes of climate and microphysics data into robust, lightning-fast surrogate models. The purpose of this project is to prototype surrogate models, machine‑learned emulators trained on targeted high‑resolution simulations, designed to increase the accuracy and speed of modeling SAI deployment scenarios. You’ll prototype transformer, diffusion, and GNN approaches, optimize training on cloud-based GPU clusters, and integrate models into Reflective’s open-source stack.
About Reflective
Reflective is a philanthropically-funded initiative to develop the necessary knowledge base and do the requisite technology research and development, urgently and responsibly.