ML Engineer: Multimodal AI for Physics-Driven Risk

Saragossa; San Francisco (CA); On-site; USD 140,000 - 230,000; Full time

Job summary

Saragossa is building a new class of AI-powered risk engine in San Francisco. We are hiring a Machine Learning Engineer to design and train multimodal model architectures, and to develop large-scale training and evaluation pipelines for production deployment.

You will work on agentic AI systems, integrate with complex workflows, and explore physics-informed machine learning domains such as digital twins and CFD. This is a rare opportunity to tackle problems beyond traditional multimodal AI.

Job description

Saragossa is building a new class of AI-powered risk engine in San Francisco. We are hiring a Machine Learning Engineer to design and train multimodal model architectures, and to develop large-scale training and evaluation pipelines for production deployment.

You will work on agentic AI systems, integrate with complex workflows, and explore physics-informed machine learning domains such as digital twins and CFD. This is a rare opportunity to tackle problems beyond traditional multimodal AI.