D
$150,000 – $250,000
Listed on Deepgram’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role develops novel approaches to audio AI through research on Latent Space Models, focusing on neural audio codecs, generative speech synthesis, and efficient training methods that can scale voice AI across billions of hours of data. The position suits researchers who thrive on solving fundamental technical challenges in multimodal learning and have the drive to move from concept to production-grade systems rapidly.
Our summary, not Deepgram’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Strong mathematical foundation in statistical learning theory and self-supervised/multimodal learning
- Deep expertise in foundation model architectures and multi-modality scaling
- Ability to bridge theory and practice through mathematical derivation and efficient implementation
- Demonstrated ability to build and curate large-scale data pipelines while maintaining quality and diversity
- Track record of designing controlled experiments that validate architectural innovations
- Experience optimizing models for real-world deployment with hardware constraints in mind
- History of open-source contributions or research publications in speech/language AI