Embedded ML Engineer On-Device Audio

Liquid AI in San Francisco is seeking an Embedded ML Engineer to own the end-to-end model development pipeline for on-device audio-to-function-calling. You will translate partner specs into training requirements, build robust data pipelines, and train/evaluate models across major software releases. You will generate data, refine fine-tuning recipes, and deliver dashboards and documentation for partner teams, while maintaining high urgency and strong communication with stakeholders. #J-18808-Ljbffr