Research Staff, Voice AI Foundations

Deepgram Research Staff, Voice AI Foundations 11 Hours AgoSaved In-Office or Remote 3 Locations 150K-250K Annually Entry level 150K-250K Annually Entry levelArtificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AIResearch Staff will develop foundational voice AI technologies, including low-bitrate neural audio codecs, steerable speech generation, disentangled audio representations, latent recombination, synthetic audio data generation, and multimodal speech-to-speech models. The role also involves designing scalable architectures, training methods, and inference algorithms optimized for hardware, billion-hour datasets, and real-time deployment. Candidates need strong mathematical foundations, foundation-model expertise, large-scale data pipeline experience, rigorous experimentation skills, deployment optimization knowledge, and publications or open-source contributions in speech or language AI.Top Skills: Data PipelinesFoundation ModelsGenerative ModelsGpu Hardware OptimizationLatent Space ModelsMultimodal LearningNeural Audio CodecsSelf-Supervised LearningSpeech-To-Speech SystemsStatistical Learning TheoryTriton Kernels