Member of Technical Staff - Fullstack Engineer

Work With UsAt 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.This Role Is For You If:You thrive on building systems from the ground up, not just maintaining themYou understand that good infrastructure is the difference between theoretical and practical MLYou balance pragmatism and ambition—knowing when to push for scale and when to shipYou’re excited by the challenge of turning complex ML capabilities into intuitive productsDesired Experience:Proven track record of architecting and scaling systems from scratchDeep understanding of modern software architecture and best practicesExperience deploying ML-powered systems in real-world production environmentsStrong opinions about engineering practices—backed by hard-earned lessonsAbility to decide when to build vs. when to leverage existing toolsWhat You'll Actually Do:Architect and implement full-stack solutions for both internal platforms and customer-facing productsDesign and scale backend services that enable robust ML model deploymentBuild deployment infrastructure that runs seamlessly across cloud and on-premise environmentsDevelop interfaces that make complex ML systems accessible and usableEstablish workflows that accelerate ML research-to-deployment cyclesCollaborate closely with Product and ML teams to iterate quickly and effectivelyWhat You'll Gain:The chance to architect foundational systems at a true greenfield stageDirect collaboration with exceptional ML researchers and product buildersInfluence over critical technical decisions that will define Liquid’s trajectoryThe opportunity to shape how enterprises deploy efficient AI models at scaleAbout Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started. #J-18808-Ljbffr

Created: 2025-09-21