Member of Technical Staff — Research Engineering, Evaluation

Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it.

To achieve this breakthrough, we are building a Large Physics foundation Model (LPM) because physical systems, unlike text or images, are governed by verifiable cause and effect. We believe that scaling on physics will enable an understanding of causality required to predict and control physical systems, starting with weather.

Our founding team has built and deployed AI against the physical world in robotics, drug discovery, and particle physics at institutions like DeepMind, Waymo, Cruise, Insitro, Nabla Bio, and CERN.

We look for research engineers who are excited to tackle unsolved problems. Progress is only as trustworthy as its measurement. As our model, data, and reasoning efforts multiply, every team needs to know, precisely and comparably, whether a change made the model better. Your mission is to build the central evaluation framework that the entire research organization runs on: the pipelines, the metrics, and the tools that turn results into shared understanding.

Responsibilities<