Liquid AI, Inc
Member of Technical Staff - Product Engineer
Liquid AI, Inc, San Francisco, California, United States, 94199
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 United States.
This Role Is For You If: You can take a baseline model and turn it into impactful product You're as comfortable writing code as you are doing user research You think like a product builder-who's the user, what do they need, and how do we serve them? You thrive in early-stage ambiguity, identifying where AI capability meets market demand You're driven to ship quickly, learn fast, and iterate toward traction Desired Experience: Proven experience building and shipping AI-powered applications or APIs Full-stack capability-can prototype and deploy independently Strong grasp of how to integrate novel models into production systems Understanding of developer or enterprise user workflows Experience conducting lightweight market validation or customer discovery Bonus:
proficiency in Canva, Figma, matplotlib, or similar tools for creating visual assets. What You'll Actually Do: Build end-to-end AI products and APIs powered by Liquid's models and platform Identify high-impact use cases where smaller, faster models outperform heavier alternatives Research specific markets (e.g. developer tools, agent frameworks, automation APIs) and design tailored solutions Collaborate with Product ML and core teams to bundle, deploy, and position model-based products Turn insights from users into scalable product directions Prototype, test, and launch offerings that demonstrate the power of Liquid's tech in real-world contexts What You'll Gain: The ability to ship AI products from concept to market with direct impact A high-trust environment where experimentation is encouraged Deep collaboration with ML researchers, engineers, and product strategists The chance to help define how efficient AI systems reach real users and businesses
About Liquid AI
Spun 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.
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 United States.
This Role Is For You If: You can take a baseline model and turn it into impactful product You're as comfortable writing code as you are doing user research You think like a product builder-who's the user, what do they need, and how do we serve them? You thrive in early-stage ambiguity, identifying where AI capability meets market demand You're driven to ship quickly, learn fast, and iterate toward traction Desired Experience: Proven experience building and shipping AI-powered applications or APIs Full-stack capability-can prototype and deploy independently Strong grasp of how to integrate novel models into production systems Understanding of developer or enterprise user workflows Experience conducting lightweight market validation or customer discovery Bonus:
proficiency in Canva, Figma, matplotlib, or similar tools for creating visual assets. What You'll Actually Do: Build end-to-end AI products and APIs powered by Liquid's models and platform Identify high-impact use cases where smaller, faster models outperform heavier alternatives Research specific markets (e.g. developer tools, agent frameworks, automation APIs) and design tailored solutions Collaborate with Product ML and core teams to bundle, deploy, and position model-based products Turn insights from users into scalable product directions Prototype, test, and launch offerings that demonstrate the power of Liquid's tech in real-world contexts What You'll Gain: The ability to ship AI products from concept to market with direct impact A high-trust environment where experimentation is encouraged Deep collaboration with ML researchers, engineers, and product strategists The chance to help define how efficient AI systems reach real users and businesses
About Liquid AI
Spun 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.