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Neuphonic

Ultra-low-latency streaming TTS API

Machine Learning Researcher

AI ResearchUpdated on Nov 10
Full-timeLondon, UKIn-person

About the Job

Requirements

  • An MSc or PhD in machine learning, speech processing, computer science, or a closely related field.
  • Strong experience training and evaluating deep learning models using frameworks such as PyTorch, JAX, or TensorFlow.
  • Several years of research or industry experience developing machine learning models; this is not a graduate or entry-level role.

Responsibilities

  • Research and develop state-of-the-art speech synthesis models.
  • Train and optimise models for high-quality, low-latency speech generation.
  • Build and curate high-quality proprietary speech datasets.
  • Improve model quality, expressiveness, and latency.
  • Work closely with engineers to bring research models into production systems.
  • Explore multimodal approaches to speech and conversational AI.

Desired Qualifications

  • Experience in text-to-speech or speech synthesis, including model architecture, training, or evaluation, or multimodal machine learning involving audio, such as models combining speech, text, or audio modalities.
  • Experience working in research-oriented machine learning environments, such as academic labs, advanced research teams, or deep-tech startups.
  • Familiarity with state-of-the-art approaches in speech generation, audio modelling, or multimodal systems.
  • Experience reading and implementing recent machine learning research papers.
  • Background from top universities, leading research groups, or equivalent research experience.
  • A strong interest in speech technology and conversational AI.

About the Company

Neuphonic

Ultra-low-latency streaming TTS API

Neuphonic provides an API for ultra-low latency text-to-speech (TTS) tailored for real-time voice interactions. Its engine streams speech by generating audio word-by-word as text arrives, achieving sub-25 millisecond latency with a patent-pending approach that works with any language model. It offers two models—one optimized for the lowest latency and one for higher audio quality—and supports real-time streaming, multilingual output, and customizable voice attributes including tone, speed, and pitch. The company focuses on enterprise applications such as customer service, gaming, digital avatars, robotics, translation, and education, aiming to expand language coverage, boost performance, and enable on-device speech capabilities.

Company size
1-10
Company stage
Seed
Total funding
$3.9M
Headquarters
London, United Kingdom
Founded
2024

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