
Efficient AI for a smarter future
Liquid AI, headquartered in Cambridge, Massachusetts, specializes in general-purpose artificial intelligence through its innovative Liquid Foundation Models (LFMs). These models are designed to deliver high performance while significantly reducing memory and computing resource requirements, making a...
Employees enjoy competitive salaries, equity options, generous PTO policies, and opportunities for remote work. Liquid AI also offers a learning budge...
Liquid AI fosters a culture of innovation and efficiency, focusing on optimizing AI capabilities while minimizing resource usage. The company values c...

Liquid AI • San Francisco
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.
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
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.
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
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
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.
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