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Research Staff, Voice AI Foundations - Remote

AI
DeepgramNetherlandsRemoteFull-time3 weeks ago

Deepgram is seeking a Research Staff member to pioneer Latent Space Models for voice AI, solving fundamental data, scale, and cost challenges. The role involves building neural audio codecs, steerable generative models, and embedding systems, requiring deep expertise in foundation model architectures and statistical learning theory. This is a remote position based in the Netherlands.

What you'll do

  • Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across a world-scale corpus of general audio.
  • Pioneer steerable generative models that can synthesize the full diversity of human speech from the codec latent representation, from casual conversation to highly emotional expression to complex multi-speaker scenarios with environmental noise and overlapping speech.
  • Develop embedding systems that cleanly factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects -- enabling precise control over each aspect and the ability to massively amplify an existing seed dataset through “latent recombination”.

What you need

Must-have

Statistical Learning TheorySelf-Supervised LearningMultimodal LearningFoundation Model ArchitecturesData PipelinesControlled ExperimentsModel OptimizationHardware Constraints

Soft skills

CreativityRelentless DriveObsession with ProblemsAdaptabilityExperimental Mindset
Voice AIResearchDeep LearningSpeech RecognitionText-to-SpeechRemoteNetherlandsFull-time