Staff Research Scientist

Build expressive speech foundation models at trillion-parameter scale, with real world impact. This team has built their entire speech stack in-house, including proprietary LLM-based ASR and TTS, both already outperforming SOTA benchmarks. They're already powering real-time, human-to-AI conversations at scale, every day. Now they're working at trillion-parameter scale to push toward a genuine end-to-end speech-to-speech LLM, one that understands and responds with genuine emotional intelligence and able to have natural, human-like conversations. That means solving problems like long-context reasoning, pronunciation accuracy and maintaining consistency in noisy, real-world environments, in a domain where no model has cracked this yet. They're hiring Senior and Staff-level Speech Scientists (Principal-level also considered) to help drive this frontier work. What you'll do: Build SOTA speech models from the ground up, at genuinely large scale Own problems end-to-end, from research through to production Solve hard, domain-specific speech challenges as part of the push toward speech-to-speech LLM research Help shape technical direction as part of a team working at the frontier of this space What you'll bring: Deep, hands-on expertise in at least one of: Speech/Audio LLMs, TTS or audio generation, or speech-to-speech Experience shipping speech systems at real scale, not just research-stage prototypes Nice to have: Experience with pre-training speech foundation models (HuBERT, Wav2Vec or similar) Experience with Multimodal LLMs especially to reduce hallucinations Experience with Speech LLMs for low latency streaming ASR Package: Up to $350K-$400K base (DOE), plus substantial equity. This is an onsite position in South Bay or Seattle. #J-18808-Ljbffr