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.
This Role Is For You If:You enjoy spearheading customer engagements and orchestrating our implementation of Liquid Foundation Models (LFMs) to bridge the gap between customer needs and technical implementation
You thrive at the intersection of deep technical expertise and strategic leadership; decoding customer challenges, architecting technical solutions, and leading our engineering team through flawless execution
You're comfortable making technical decisions with incomplete information, guiding teams through ambiguity, and being the definitive technical voice for our customers
You have deep experience leading technical ML implementations with enterprise customers, including requirements gathering, solution design, and delivery management
You possess deep technical knowledge of foundation models with hands-on experience in customization, fine-tuning, and deployment strategies
You excel at distilling ambiguous customer problems into clear technical specifications that can be executed by implementation teams
You can effectively communicate complex technical concepts to both technical and non-technical stakeholders, serving as the primary technical liaison with customers
You have a proven track record of leading cross-functional teams to deliver complex ML solutions on time and to specification
Own end-to-end customer relationships from technical discovery through implementation and success validation
Translate customer use cases into detailed technical implementation plans for the Applied ML Engineering team
Conduct technical discovery sessions with customers to deeply understand their requirements, constraints, and success criteria
Build and maintain the technical roadmap for each customer engagement, identifying risks and dependencies early
Serve as the escalation point for complex technical challenges encountered during implementations
Collaborate with product and engineering teams to align customer needs with our product roadmap
Develop reusable implementation patterns and technical assets that accelerate future customer engagements
The opportunity to define how cutting-edge LFM technology transforms businesses across industries
Leadership experience building a high-performing technical implementation function from the ground up
Visibility across the entire customer lifecycle, from initial engagement through successful deployment
The satisfaction of seeing your technical vision translated into tangible customer outcomes that redefine what's possible with foundation models
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.
Top Skills
What We Do
Our mission is to build capable and efficient general-purpose AI systems at every scale
