Silurian is an innovative startup building foundation models to simulate Earth, with an initial focus on weather prediction. The company aims to scale these models to their full potential and push the boundaries of physical predictability. As a Founding Research Engineer, you'll work on cutting-edge technology handling some of the world's biggest training datasets.
The role involves architecting and implementing petabyte-scale geospatial data pipelines, working with multi-modal heterogeneous data volumes in the weather and climate domain. You'll be responsible for designing schemas, implementing data validation systems, and streamlining data processing for foundation models.
The company offers a comprehensive interview process including initial chats, technical deep dives, take-home projects, and team rounds. They value both quick implementations and methodical approaches. The small team size (4 members) means you'll have direct impact and work closely with the founders.
Key benefits include working on real-world impact projects like early hurricane prediction, exposure to cutting-edge technology, and the opportunity to work with a dynamic team committed to improving the world through AI. The position offers both remote work options and competitive compensation including equity.
This is an excellent opportunity for someone passionate about AI, climate tech, and large-scale data systems who wants to make a meaningful impact on global weather forecasting and Earth simulation systems.