Research Staff, Voice AI Foundations [UK - 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 for voice AI, specifically Latent Space Models, to address fundamental challenges in data diversity, scale, and cost. The researcher will develop advanced neural codecs, generative models, and embedding systems to improve voice synthesis and understanding, aiming to enable more natural and context-aware voice interactions. The work involves designing innovative architectures and algorithms for large-scale, real-time applications.

Candidates should have a strong background in statistical learning, foundation model architectures, and multimodal learning, with proven experience in building and deploying large datasets and models. The role requires creativity, problem-solving skills, and the ability to experiment rapidly to validate ideas. The position is remote in the UK, full-time, and involves working in an AI-first environment that values continuous learning, experimentation, and technological innovation.