Description
Liquid AI is hiring an Applied Audio AI Engineer to own enterprise post-training projects for LFM2.5-Audio and future audio models. The role translates customer requirements into post-training specifications, builds function-calling capabilities, generates and evaluates training data, and runs supervised fine-tuning, preference alignment, and reinforcement learning workflows. The engineer will also design evaluations for intent recognition, parameter extraction, and end-to-end task completion, with a focus on on-device, low-latency, memory-limited systems.
