Founding ML Infra Engineer - Real-Time Audio Pipelines

An innovative audio data research company in San Francisco seeks a Founding Machine Learning Infrastructure Engineer to build and scale cutting-edge audio ML products. This role involves designing data pipelines, developing training frameworks, and ensuring robust model deployment infrastructure. The ideal candidate has over 5 years of backend engineering experience, including ML infrastructure, and is proficient with Docker and Kubernetes. Competitive benefits include unlimited PTO and comprehensive health coverage. #J-18808-Ljbffr