Deepgram
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Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Research Staff will develop foundational voice AI technologies, including neural audio codecs, steerable generative models, latent-space embeddings, synthetic audio data generation, multimodal speech-to-speech systems, and hardware-efficient architectures. The role combines mathematical modeling, algorithmic innovation, large-scale data engineering, real-time deployment optimization, and rigorous experimental design to advance scalable, low-latency voice interaction.
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Conduct foundational research on latent space models for voice AI, including neural audio codecs, generative speech, interpretable embeddings, synthetic data generation, multimodal speech-to-speech systems, and hardware-efficient model architectures. Design mathematical formulations, scalable data pipelines, controlled experiments, and real-time inference solutions for large-scale audio datasets.
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Conduct foundational research on latent space models for voice AI, including neural audio codecs, generative speech models, interpretable embeddings, synthetic audio generation, multimodal speech-to-speech systems, and hardware-efficient training and inference. The role requires mathematical rigor, algorithmic innovation, scalable data pipelines, systems optimization, and controlled experimentation to advance speech and audio foundation models.
