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Research Staff, Voice AI Foundations [UK - Remote]

Deepgram· Research
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RemoteFull-timePosted 1w ago

About the role

Research Staff role focused on developing Latent Space Models (LSMs) for robust, contextualized voice AI, including neural audio codecs, steerable generative models, embedding systems, synthetic data via latent recombination, and hardware-efficient architectures for large-scale, real-time voice applications.

Responsibilities

  • Pioneer development of Latent Space Models (LSMs) for voice AI across multiple problem areas: neural audio codecs with extreme low bit-rate compression and high-fidelity reconstruction; steerable generative models for diverse speech, including multi-speaker scenarios with noise and overlapping speech; embedding systems to factorize latent space into interpretable dimensions (speaker, content, style, environment, channel effects) enabling latent recombination; leverage latent recombination to generate synthetic audio data at scale; train multimodal speech-to-speech systems capable of understanding any human and producing empathic, human-like responses; design model architectures, training schemes, and inference algorithms optimized for hardware and real-time inference at scale.

Qualifications

  • Strong mathematical foundation in statistical learning theory, especially self-supervised and multimodal learning
  • Deep expertise in foundation model architectures and scaling training across modalities
  • Ability to bridge theory and practice with implementable solutions
  • Experience building data pipelines for massive datasets with quality and diversity
  • Track record of controlled experiments to isolate architectural impact and validate insights
  • Experience optimizing models for real-world deployment with hardware awareness
  • History of open-source contributions or research publications in speech/language AI

Skills

Required:Statistical learning theoryFoundation model architecturesData pipelines for large-scale datasetsExperimental design

Benefits

  • Not specified in the description
Last updated Oct 14, 2026. Interested? Apply on the company site.
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About Deepgram

Building foundational AI for speech transcription and understanding.

Deepgram is a foundational AI company on a mission to understand human language. We give any developer access to the most advanced speech AI transcription and understanding with just an API call. Our models deliver the fastest, most accurate transcription alongside contextual features like summarization, sentiment analysis, and topic detection. Beyond that, developers can: 🔊 Process live-streaming or pre-recorded audio 🌎 Transcribe in dozens of languages ⚙️ Train custom models for unique use cases 🔑 Access deep NLU with a unified API 💻 Build in any programming language with our SDKs ✅ Deploy on-prem or on DG’s managed cloud 📈 Get scalable GPU infra for training and inference Deepgram is a proud NVIDIA partner and Y Combinator company, and we recently completed a $72M Series B to define the future of AI Speech Understanding, making us the most-funded speech AI company at its stage.

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