Research Staff, Voice AI Foundations - Remote

Description: Join Deepgram as a Research Staff member to develop Latent Space Models (LSMs) for voice AI. Focus on solving challenges related to audio data, model scaling, and cost efficiency in voice interaction. Requirements: Strong mathematical foundation in statistical learning theory and self-supervised learning. Deep expertise in foundation model architectures and experience with large-scale data processing. Proven ability to bridge theory and practice with a track record of designing controlled experiments. Experience optimizing models for real-world deployment and knowledge of hardware constraints. History of open-source contributions or research publications in speech/language AI. Benefits: Work in a fast-paced, AI-first environment that encourages experimentation and innovation. Opportunity to pioneer new approaches in the rapidly evolving Voice AI field.