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Liquid AI
Cambridge, Massachusetts, United States
Source: Liquid AI careers · View original posting
From Liquid AI's posting. “We” and “our” refer to the employer.
Liquid AI Job Description
Member Of Technical Staff, Infrastructure
Research & Engineering
Boston
Hybrid
Full-time
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
Our inference stack is central to everything we ship. You'll be a core part of the team responsible for the engine layer that runs our models in production and in partner environments, and for the benchmarking infrastructure we use to evaluate our own work and verify what partners bring to us. Day to day, that means working closely with research and product, but also directly with external engineering teams.
You've ported LFM2 onto multiple runtimes and platforms, you know the model inside out, and new ports take you a fraction of the time they did at the start.
You've run multiple partner verifications end-to-end and built enough context to spot weak evaluations quickly and push back with evidence.
The benchmark suite covers inference performance and model quality across the platforms we care about, and both internal teams and partners are using it as a reference.
Compensation
Competitive base salary with equity in a unicorn-stage company
We pay 100% of medical, dental, and vision premiums for employees and dependents
401(k) matching up to 4% of base pay
Unlimited PTO plus company-wide Refill Days throughout the year
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