Research Staff, Voice AI Foundations [Remote]

Deepgram is a leader in Voice AI technology, providing APIs for speech-to-text, text-to-speech, and voice agent development. The company serves a large developer community and major organizations, offering cloud-based and on-premises solutions with high accuracy and efficiency. Their foundation models are designed to process vast amounts of audio data, making voice interaction more accessible and natural for users worldwide.

The Research Staff role focuses on pioneering new models to overcome fundamental challenges in audio data scarcity, diversity, and high computational costs. The candidate will develop advanced neural codecs, generative models, and embedding systems to improve voice synthesis, control, and data generation at scale. The work aims to enable more natural, contextualized, and scalable voice AI applications.

This remote, full-time position requires a researcher with a strong mathematical background, expertise in foundation models, and experience in large-scale data processing. The candidate should be innovative, able to quickly validate ideas through experiments, and skilled in bridging theory with practical implementation. Deepgram values an AI-first mindset, encouraging experimentation and rapid adaptation to new technologies.