LiQUiD is the AI Powered Salon Assistant that pays for itself – ensuring every service is profitable, every client comes back, and every decision grows your money. Backed by Techstars.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Hands-on LLM experience, including fine-tuning (LoRA, QLoRA, full fine-tuning, distillation) and tokenizer debugging, with a track record of shipping to production or active community environments
- Fluency with PyTorch, Hugging Face (Transformers, PEFT, Datasets), and at least one model serving framework (llama.cpp, MLX, vLLM, ONNX Runtime, or TGI), plus a working understanding of quantization tradeoffs (GGUF, AWQ, GPTQ, INT8/INT4)
- Experience with on-device deployment (iOS, Android, embedded) or specialized work in the efficient-model ecosystem (Phi, Gemma, Qwen, SmolLM, or distilled architectures)
- Experience in developer relations, developer advocacy, or community engineering, with direct responsibility for engaging and supporting developers publicly
- A public portfolio of technical communication (articles, tutorials, cookbooks, talks, videos, workshops, or open-source educational content) that turns complex model, tooling, and deployment concepts into material developers can act on
- Open-source contributions to the inference or efficient-model tooling ecosystem (llama.cpp, MLX, ONNX, Hugging Face libraries)
More about this role
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.
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.
Builder: You would rather ship a working...
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