
We build efficient general-purpose AI at every scale.
Founded: MIT CSAIL spinout (Dec 2023)
Founders: Ramin Hasani; Mathias Lechner; Alexander Amini; Daniela Rus
Product focus: Efficient, general-purpose 'liquid' neural-network foundation models for edge-to-cloud
Notable funding: $37.5M seed announced Dec 2023; later raises reported including a $250M raise
Employee count: 111
Efficient AI for edge and embedded systems; low-latency, hardware-aware foundation models.
2023
Artificial intelligence / Machine learning
$37.5M
Two-stage seed reported; named participants included OSS Capital, The Pags Group, Automattic, Samsung Next, Bold Capital Partners, ISAI Cap Venture and angel investors.
$250M
Company blog post announced a $250M raise to scale their models; details on timing and lead investors provided in company announcement.
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About Liquid AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.
The Opportunity You'll shape how enterprises and developers experience AI customization and deployment through our LEAP platform. This isn't a role where you wait for product specs and push pixels. You'll dive into user feedback, identify experience gaps, design intuitive flows for complex ML workflows, and work directly with engineers to bring them to life. We need someone who can turn sophisticated AI capabilities into interfaces that feel simple and inevitable.
While San Francisco and Boston are preferred, we are open to other locations. What We're Looking For We need someone who:
The Work
Must-have Desired Experience
Nice-to-have
What Success Looks Like (Year One)
What We Offer
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