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.