Autopoiesis Sciences is seeking a Machine Learning Scientist, Superintelligence to join their team in San Francisco, CA. The role involves building AI systems that can tackle complex scientific challenges and push the boundaries of autonomous research capabilities.

As a Machine Learning Scientist, you will design, implement, and improve massive-scale distributed training systems for autonomous agents. You will develop novel algorithms and training methodologies, partner with domain scientists to encode epistemological principles, and build evaluation frameworks to measure scientific reasoning capabilities. The position requires moving fluidly between research exploration and engineering implementation to deliver both theoretical insights and production-ready systems.