Engineering Jobs at Liquid AI

Liquid AI builds Liquid Foundation Models (LFMs), a family of efficient and multimodal models for on-device, edge, and cloud AI. The models are designed for low-latency, privacy-preserving, and hardware-aware deployment, and can run on frameworks such as llama.cpp, MLX, ONNX, and CoreML. The company's research roots trace back to MIT CSAIL and the development of Liquid Neural Networks, which formed the basis for the LFMs. Its product line includes models for tasks like running local agents and vision-language capabilities.

Liquid AI is also hiring in data and AI (4), finance and legal (1), people and talent (1) and product (1).

Its roles are in San Francisco, CA, US (14), Boston, MA, US (10), Cambridge, MA, US (9) and remote (5).

You own whole parts of the product rather than one service inside a large system. Expect to write the code, deploy it, and get paged when it breaks. Reviews are quick and the codebase is small, so a decision made on Tuesday can ship on Thursday.