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2 дня назад

Sr. TTS Research Engineer (AI)

Формат работы
remote (только Japan)
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Japan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Sr. TTS Research Engineer (AI): Developing and optimizing core neural TTS algorithms for a multi-language voice engine with an accent on inference speed, pipeline flexibility, and SDK maintenance. Focus on implementing advanced acoustic models, voice cloning systems, and ensuring high-performance delivery across automotive platforms.

Location: Remote (Japan)

Company

hirify.global is a global leader in automotive voice assistant technology, powering AI-driven experiences for over 500 million vehicles worldwide.

What you will do

  • Optimize core neural network algorithms to enhance inference speed and generation quality.
  • Integrate diverse TTS components into a unified, flexible pipeline supporting 30+ languages.
  • Design, implement, and maintain embedded SDKs for various platforms and cloud APIs.
  • Build automated testing and release processes to monitor KPIs like latency and RTF.
  • Maintain and improve codebases developed by R&D engineers.
  • Create technical documentation, including release notes, SDK guides, and API references.

Requirements

  • Native or near-native Japanese proficiency is mandatory.
  • Fluent English proficiency is required.
  • 3+ years of hands-on experience in TTS system development.
  • Proficiency in C/C++ and Python with mastery of PyTorch or TensorFlow.
  • Experience with ONNX Runtime, TensorRT, or TorchScript.
  • Understanding of acoustic models, neural vocoders, and voice cloning techniques.

Nice to have

  • Background in NLP techniques or speech signal processing.
  • Experience with zero-shot or emotional TTS systems.

Culture & Benefits

  • Opportunity to work on meaningful innovation in the automotive AI industry.
  • Collaborative environment within a passionate, dedicated global team.
  • Commitment to equal employment opportunity and workplace safety.
  • Exposure to large-scale deployments across major global automakers.

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