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The role builds scalable training systems for speech recognition and synthesis models, covering data preparation, distributed training pipelines, and automated evaluation. The engineer also creates internal interfaces for non-technical colleagues and oversees experiment tracking and orchestration. Candidates need hands-on ML research pipeline experience in speech, plus skills with containers, orchestration, and unstructured audio data.