Applied Audio ML Engineer

Job description

Skills: Torch/PyTorch About our Machine Learning team: 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. About this role: 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. In this role, you will: 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. Your background looks like: - 5+ years of professional audio ML experience, inc...