AI · MIT CSAIL
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
Developers do not yet grasp what a fine-tuned small model can do until they see one running on a phone, in a browser, or on a Jetson board. Closing that imagination gap is the job. You will be Liquid's technical voice where builders already are (Hugging Face, GitHub, Discord, and the developer events that matter for edge AI), turning individual troubleshooting sessions on chat templates, quantization, and on-device deployment into cookbooks, reference apps, and content the whole community can use.
This is a hands-on role within Marketing & Communications. You will work closely with our model, platform, and product teams: they partner on technical accuracy, and you own how the work is explained, presented, and adapted for developers.
WHAT WE'RE LOOKING FOR
We need someone who
- Builder: You would rather ship a working reference app than write a strategy memo, and you measure yourself by what developers actually adopt.
- Community native: You answer hard questions in public, you are comfortable being wrong in front of people, and you know the small-model and edge-AI ecosystem well enough to hold real opinions.
- Trusted te