Liquid AI, spun out of MIT, is building efficient AI systems. They are looking for someone with experience building distributed training infrastructure for language and multimodal models. The role involves designing and implementing scalable training infrastructure, building data loading systems, developing checkpointing mechanisms, and optimizing communication patterns. The company is open to locations other than San Francisco and Boston.
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Liquid AI is an efficiency-first foundation model company. We build highly capable, compute-optimized models that bring intelligence to any device and medium of choice.