Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale.
Qualifications:
Strong mathematical foundation in statistical learning theory, particularly in areas relevant to self-supervised and multimodal learning
This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions.
Benefits:
Holistic health
Medical, dental, vision benefits
Annual wellness stipend.
Responsibility:
As a Member of the Research Staff, you will pioneer the development of Latent Space Models (LSMs), a new approach that aims to solve the fundamental data, scale, and cost challenges associated with building robust, contextualized voice AI.