
We build efficient general-purpose AI at every scale.
Headquarters / Origin: MIT CSAIL spinoff based in Boston/Cambridge
Product focus: Efficient, low-latency foundation models (LFMs) and edge deployment platform (LEAP)
Notable funding: Raised $37.5M seed (Dec 2023) and $250M Series A (Dec 2024, led by AMD)
Founding team: Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus
| Company |
|---|
Efficiency and deployment of foundation models for on-device and low-latency environments
2023
Artificial intelligence / Machine learning
$37.5M
Announced December 6, 2023
$250M
Announced December 13, 2024; reporting cited a post-money valuation of over $2 billion
“Mix of VC, corporate investors, and notable angels including OSS Capital, PagsGroup, Breyer Capital, Samsung Next, Bold Capital Partners, and individual angels such as Tom Preston-Werner and Naval Ravikant”
About Liquid AI Spun out of MIT CSAIL, we build AI systems that run where others stall: on CPUs, with low latency, minimal memory, and maximum 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 join our Product team to build the interfaces that make complex AI workflows feel simple. Our platform helps enterprises customize, deploy, and manage AI models without needing deep ML expertise. You'll own the frontend systems that translate sophisticated machine learning capabilities into intuitive user experiences, working directly with ML researchers, backend engineers, and designers in a fast-moving environment where your decisions shape the product.
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