Machine Learning Research Engineer / Scientist

Silurian is an innovative company building foundation models to simulate the Earth, starting with weather prediction. Their mission is to scale these models to their full potential and push them to the limits of physical predictability, ultimately aiming to model all infrastructure impacted by weather including energy grid, agriculture, logistics, and defense.

As a Machine Learning Research Engineer/Scientist at Silurian, you'll be at the forefront of developing groundbreaking physics foundation models. This role offers a unique opportunity to work on cutting-edge AI systems that have real-world impact on weather prediction and large-scale physical simulations.

The ideal candidate will have a strong background in deep learning and distributed systems, with the ability to architect and implement innovative ML models for complex spatiotemporal data analysis. You'll be working with modern ML frameworks and leading end-to-end development from research to production.

What makes this role exciting is the opportunity to work on unprecedented challenges in weather prediction using AI, collaborating with world-class researchers and engineers. The position offers competitive compensation including equity, and welcomes candidates of all experience levels, including new graduates.

The company is backed by Y Combinator and offers a flexible work environment with remote options. This is an excellent opportunity for those passionate about applying AI to solve complex real-world problems and who want to be part of a pioneering team pushing the boundaries of what's possible with physics foundation models.