Liquid AI
We build efficient general-purpose AI at every scale.
HQUS
Team Size104
Open Jobs44
Total Funding-
Latest FundraiseUnknown
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
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”
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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 shape how enterprises 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.
We need someone who:
The Work
Must-have Desired Experience
Nice-to-have
What Success Looks Like (Year One)
What We Offer