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Aiphoria

Machine Learning Engineer (TTS)

Remote Senior $4.7k–$12.8k/moest.

Summary

Aiphoria is seeking a Machine Learning Engineer specializing in Text-to-Speech (TTS) to join their expanding team. The role focuses on designing and optimizing TTS models for natural and accurate voice synthesis in their voice assistant products.

What you'll do

  • Design and optimize TTS models to ensure natural and accurate voice assistant output
  • Collaborate with product managers and engineers to integrate TTS technology seamlessly for users
  • Partner with data teams to build efficient audio data pipelines, including speaker recording and preprocessing to model training
  • Update and refine TTS models to adapt to various accents, dialects, and speech styles
  • Stay current with latest TTS advancements and implement innovative techniques
  • Rigorously test and validate models to meet strict quality standards

Requirements

  • 3+ years of hands-on experience with Text-to-Speech (TTS) and speech synthesis
  • Proficiency in Python and deep learning frameworks, especially PyTorch
  • Strong understanding of speech synthesis processing techniques
  • Experience with FastAttention-Based Models (FastPitch, FastSpeech 2) and modern variative approaches (VITS, Glow-TTS)
  • Strong understanding of prosody, rhythm, and emotional tone control for expressive speech synthesis
  • Knowledge of normalization techniques, FSTs, and neural networks for normalization
  • Familiarity with TTS evaluation techniques including MOS and A/B testing
  • Familiarity with vocoder models (Vocos, HiFi-GAN, Mimi)
  • Knowledge of signal processing, statistical modeling, and language structure

Conditions

  • Remote work opportunities available
  • Experienced team with award-winning professionals from BigTech corporations
  • Access to cutting-edge technologies in Computer Vision, Speech Technologies, NLP, Generative AI, LLM, and Diffusion models
  • Rapid career progression supported by seasoned senior professionals from industry-leading companies
  • Opportunity to work on diverse projects and proprietary products with prominent clients
  • Competitive compensation surpassing market standards
  • Entrepreneurial culture combining startup spirit with stable, secure workspace

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