Machine Learning Research Engineer / Scientist

Silurian is pioneering the development of foundation models to simulate Earth, with an initial focus on weather prediction. We're building groundbreaking physics foundation models that aim to push the boundaries of physical predictability. Our ultimate vision extends beyond weather to modeling all weather-impacted infrastructure including energy grids, agriculture, logistics, and defense.

We're seeking Machine Learning Research Engineers/Scientists to join our innovative team. The role offers an opportunity to work on cutting-edge AI systems that have significant real-world impact. You'll be developing, training, and deploying large-scale AI foundation models to advance weather prediction and physical simulations.

The ideal candidate will have strong expertise in deep learning, distributed systems, and modern ML frameworks. While we welcome candidates of all experience levels (including new graduates), you should have a solid foundation in AI/ML concepts and excellent software engineering practices. The role offers competitive compensation ($80K-$200K) with equity (0.25%-2.00%), and flexible work arrangements including remote options.

You'll be joining a small but growing team of 4 people, working directly with the founders. The position offers an excellent opportunity to make a significant impact in a field that combines cutting-edge AI research with practical applications in weather prediction and Earth simulation. The company's ambitious vision and focus on foundation models makes this an exciting opportunity for those interested in pushing the boundaries of AI applications in physical sciences.