Reflective

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. You’ll prototype transformer, diffusion, and GNN approaches.

Provides full-stack software support across a range of data infrastructure projects. Ensures the code behind the multi-scale climate modeling project is reproducible, performant, and delightful for outside contributors. Responsible for prototyping surrogate models and machine‑learned emulators trained on targeted high‑resolution simulations, designed to increase the accuracy and speed of modeling SAI deployment scenarios.