Applied Audio ML Engineer at David AI

Our Machine Learning team sits at the intersection of cutting-edge research and production systems, transforming raw audio into high-signal data for leading AI labs and enterprises. We own the full ML lifecycle - from researching novel speech processing algorithms to deploying models processing terabytes of audio daily. As an Applied ML Engineer at David AI you'll build cutting-edge speech and audio models, production inference systems and resilient pipelines that showcase what high-quality data can really do. Research, design, and implement solutions using advanced signal processing. algorithms and bleeding edge ML models with application to speech and audio. Develop production-grade inference algorithms, pipelines, and APIs with cross-functional teams that unlock key insights into our data for our customers. Collaborating with our Operations team to gather useful training and evaluation datasets to improve the quality of our models. Architect systems that enable resilient, durable inference and evaluations. 5+ years of professional audio ML experience, including DSP and ML audio algorithm development. End-to-end ownership of ML pipelines, from proof-of-concept to production deplo