ai-coustics is building the for Voice AI, the system that closes the gap between raw audio input and reliable machine understanding in production. By combining state-of-the-art speech and audio research with real-time, production-grade SDKs, we test, observe, and enable Voice AI systems to work in any environment. We believe voice will become the main interface for technology and ai-coustics is building the foundational infrastructure to make audio input reliable, measurable, and easy to deploy. * Model Innovation: Designing, training, and optimizing deep learning models for speech enhancement, source separation, and sequence-to-sequence audio problems. * Data Architecture: Owning the lifecycle of audio datasets—from sourcing and recording to building complex synthetic simulation pipelines that reflect real-world acoustics. We are looking for "audio-first" engineers.
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