Liquid Labs - Research Engineer

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About this role

Liquid Labs - Research Engineer Boston, Cambridge, Massachusetts, United States About Liquid Labs Research has been core to Liquid AI from the beginning. Liquid Labs gives that work a formal home; an internal research accelerator driving fundamental breakthroughs in the science of building intelligent, personalized, and adaptive machines. Our origins trace back to MIT CSAIL, where the foundational work on Liquid Neural Networks defined a new class of dynamical, efficient sequence-processing architectures. That research became the basis for Liquid Foundation Models (LFMs). Scalable, multimodal models built for real-world deployment in resource-constrained environments. At Liquid Labs, we extend that lineage - pushing forward the frontier of efficient, adaptive intelligence through both fundamental research and practical engineering. We work hand-in-hand with Liquid's core foundation model and systems teams to translate theory into deployed capability - defining a new generation of intelligent systems that are both powerful and efficient. About The Role: As a Research Engineer, you'll join a small, high-context team exploring the limits of adaptive intelligence. You'll design and implement novel architectures, training methods, and inference strategies to redefine what efficient AI can do. You'll operate at the intersection of research and engineering - translating scientific ideas into working systems, publishing where it drives the field forward, and deploying where it changes what's possible. While San Francisco and Boston are preferred, we are open to other locations in the United States. This Role Is For You If: - Work fluently in Python and frameworks such as PyTorch, JAX, or TensorFlow -

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