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 thrive at the intersection of complex systems and elegant design

• You’re passionate about making advanced AI workflows approachable and visual

• You have strong empathy for technical users who aren’t ML experts

• You enjoy working in fast-moving, research-driven environments where products evolve rapidly

• You get energy from designing products that make cutting-edge technology feel simple and human

Desired Experience:

• 4+ years of experience designing complex tools or platforms—ideally developer tools, AI interfaces, or creative software

• Portfolio that demonstrates systems thinking and exceptional interaction design craft

• Proven ability to translate technical complexity into intuitive, usable products

• Experience collaborating closely with engineering and ML research teams

• Comfort designing for iterative, experimental environments where learning happens through prototyping

What You'll Actually Do:

• Lead product design for a new generation of AI customization and deployment tools

• Design intuitive flows that make it easy for users to describe tasks, adapt models, and visualize results

• Work closely with Product and ML teams to shape experiences that feel like building with AI rather than configuring systems

• Develop interaction patterns and visual frameworks for model iteration, feedback, and performance understanding

• Establish design systems and principles that scale across multiple AI-driven products

What You'll Gain:

• The opportunity to define the design language for next-generation AI interfaces

• Deep collaboration with world-class ML researchers and engineers

• Influence over how developers and enterprises build with efficient, deployable models

• A front-row seat in shaping how humans interact with intelligence itself

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.