Senior Researcher - Text to Speech | San Francisco

What you’ll do

• Lead research on Text-to-Speech models focused on naturalness, expressiveness, latency, and robustness
• Design and train TTS systems for real-world voices across accents, languages, and speaking styles
• Improve streaming and low-latency speech synthesis pipelines
• Experiment with architectures, loss functions, and data strategies (multi-speaker training, style modeling, distillation, data augmentation)
• Translate research ideas into production‑ready TTS systems
• Collaborate closely with infra, product, and voice engineering teams

• Strong background in Text-to-Speech / speech generation research
• Hands‑on experience with deep learning frameworks (PyTorch preferred)
• Experience with real‑time or low‑latency TTS systems
• Familiarity with modern TTS architectures (Tacotron‑style, Fast Speech, VITS, diffusion‑based, neural vocoders)
• Ability to think end‑to‑end: data → model → inference → deployment
• Prior work in multilingual, expressive, or accented speech synthesis is a strong plus

• Publications in top speech / ML conferences
• Experience deploying TTS models in real‑time production
• Exposure to conversational AI or voice agents

• 3–6 years of specialized experience in speech through academia or industry

• Master’s or PhD in Speech, ML, or a related field

Note: We often make exceptions and hire brilliant candidates regardless of years of experience or education.
Proof of work is paramount.

Compensation Range: $200K - $300K