Machine Learning Research Engineer / Scientist

Silurian is an innovative startup focused on building foundation models to simulate the Earth, with an initial focus on weather prediction. Our ambitious mission extends beyond weather simulation to modeling all weather-impacted infrastructure including energy grids, agriculture, logistics, and defense systems. We're pushing the boundaries of physical predictability through advanced modeling techniques.

As a Machine Learning Research Engineer/Scientist at Silurian, you'll be at the forefront of developing cutting-edge foundation models for Earth simulation. This role offers a unique opportunity to work on challenging problems that combine machine learning with physical systems modeling. You'll be joining a small but dynamic team of 4 people, including founders with strong technical backgrounds.

The position is perfect for candidates interested in the intersection of AI and Earth sciences, offering competitive compensation including both salary and equity components. We welcome applications from new graduates, making this an excellent opportunity for those starting their careers in machine learning research.

Working at Silurian means being part of a mission to create transformative technology that could impact multiple industries and help better understand and predict Earth's systems. The company's location flexibility (London, Seattle, or remote) and competitive compensation package make this an attractive opportunity for ambitious machine learning professionals who want to make a significant impact in climate and Earth science modeling.