Member of Technical Staff - Post Training, Reinforcement Learning

WORK WITH US At Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next. We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems. While San Francisco and Boston are preferred, we are open to other locations in the United States. THIS ROLE IS FOR YOU IF: - You want to push the boundaries of small language models capabilities and open-source best-in-class checkpoints - You actively follow the