Research Staff will develop foundational voice AI technologies, including neural audio codecs, steerable generative models, latent-space embeddings, synthetic audio data generation, multimodal speech-to-speech systems, and hardware-efficient architectures. The role combines mathematical modeling, algorithmic innovation, large-scale data engineering, real-time deployment optimization, and rigorous experimental design to advance scalable, low-latency voice interaction.