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Member of Technical Staff Applied ML RecSys

principalremoteCambridge, INTScore undefined/1001w ago
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Description
About Liquid AISpun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. The OpportunityThis is a rare chance to apply frontier sequential recommendation architectures to real enterprise problems at scale. Unlike most recommendation roles that are siloed into a single product surface, this role gives you full ownership over how large-scale recommendation models are adapted, evaluated, and deployed for enterprise customers. The WorkAct as the technical owner for enterprise customer engagements involving recommendation and ranking workloadsTranslate customer requiremen
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