Developer Relations
A hands-on developer relations role at Liquid AI in San Francisco: act as the company's public technical voice across Hugging Face, GitHub, Discord, and in-person events, shipping on-device reference apps, cookbooks, and honest benchmark content for its LFM small models and inference tooling (llama.cpp, MLX, ONNX).
- Compensation
- Not disclosed
- Location
- San Francisco
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Developer relations
- Posted
Skills
Must have
- Hands-on experience with LLMs, including fine-tuning (LoRA, QLoRA, full fine-tuning, distillation), tokenizer debugging, and shipping to production or active community environments
- Deep familiarity with PyTorch, Hugging Face (Transformers, PEFT, Datasets), and model serving frameworks (llama.cpp, MLX, vLLM, ONNX Runtime, or TGI), plus understanding of quantization tradeoffs (GGU
- Experience with on-device deployment (iOS, Android, embedded) or specialized work in the efficient-model ecosystem (Phi, Gemma, Qwen, SmolLM, or distilled architectures)
- Demonstrated experience in developer relations, developer advocacy, or community engineering, including publicly engaging and supporting developers
- Strong portfolio of public technical communication (articles, tutorials, cookbooks, talks, videos, workshops, or open-source educational content)
- Strong technical writing and editing skills, able to turn complex model, tooling, and deployment concepts into actionable developer content
Nice to have
- Active open-source contributions, especially to inference or efficient-model tooling (llama.cpp, MLX, ONNX, Hugging Face libraries)
- Experience organizing or running hackathons, workshops, or developer events
Full description
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 technical voice: You move between a quick Discord answer, a step-by-step cookbook, and a long-form technical post without losing accuracy or voice, and you earn the trust of skeptical developers by staying concrete and avoiding hype.
- In-person energizer: Hackathons, workshops, hallway-track demos, and the conferences where builders actually show up are where you do your best work.
- End-to-end owner: You take ownership in ambiguity and turn one-off problems into reusable resources without being asked.
The Work
- Be the technical voice in the community: live where LFM developers already are (Hugging Face, GitHub, Discord, X), answer hard questions in public, maintain Liquid's presence on the Hub, and amplify community fine-tunes and edge deployments worth seeing.
- Show up in person: host hackathons, build nights, and technical workshops at Liquid offices and partner venues; submit talks, run booths, and demo at the conferences that matter for small-model and edge AI; and partner with hackathon organizers to make LFMs the obvious choice for builders who care about latency, on-device, or cost.