Opportunity Description
About
Beatdapp Beatdapp is a company delivering the most advanced streaming integrity technology in the world. One of our ventures is building machine learning inference systems for audio at scale. The work spans music, podcasts, and speech, with a particular focus on AI-generated sound. As generative audio gets cheaper and faster, the platforms we serve need accurate signal about what's real in their content, and they depend on us to provide it.
About the role This role sits at the intersection of ML engineering, platform / infrastructure work, and inference systems. You will bridge the gap between raw audio and the clean signals our detection models depend on. You will partner with data scientists on bringing those models into production, carrying the production lens (latency, cost, customer-facing edges) into design conversations early so trade-offs are made together rather than discovered late.
In practice, the work cuts across the GPU-bound inference con...
Beatdapp Beatdapp is a company delivering the most advanced streaming integrity technology in the world. One of our ventures is building machine learning inference systems for audio at scale. The work spans music, podcasts, and speech, with a particular focus on AI-generated sound. As generative audio gets cheaper and faster, the platforms we serve need accurate signal about what's real in their content, and they depend on us to provide it.
About the role This role sits at the intersection of ML engineering, platform / infrastructure work, and inference systems. You will bridge the gap between raw audio and the clean signals our detection models depend on. You will partner with data scientists on bringing those models into production, carrying the production lens (latency, cost, customer-facing edges) into design conversations early so trade-offs are made together rather than discovered late.
In practice, the work cuts across the GPU-bound inference con...
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