We're looking for an Audio Data Infrastructure Engineer to design and maintain a robust, scalable data pipeline that transforms raw audio from diverse sources into structured analytics at scale. In this role, you'll own the database architecture, high-volume ingestion pipelines, and analysis and labeling workflows that process many terabytes of audio. This includes ingesting raw audio, running large-scale ML- and DSP-based analysis, and storing the resulting metadata and analytics efficiently in a large PostgreSQL database. * Design scalable ingestion pipelines for audio data from many sources. * Design and maintain efficient metadata storage for audio, frames, statistics, and analysis results. * 3+ years of experience in Data Engineering, ML Infrastructure, or Distributed Systems, working on production systems at scale.
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