42dot

Deep Learning Engineer (음성 합성 개발)

42dot
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1 month ago
Sŏngnam, Korea, SouthMid Level

Responsibilities

  • Optimize TTS models for on-device and server environments.
  • Port and optimize models for NPU and other AI accelerator environments.
  • Lighten models through quantization and optimize memory, computation, and performance.
  • Develop real-time streaming speech synthesis systems and optimize latency.
  • Develop and deploy multilingual and multi-speaker TTS models.
  • Research and develop modern TTS models based on LLMs and Flow Matching.
  • Build and improve speech-synthesis datasets based on modern generative models.
  • Analyze and resolve TTS model and service issues in production environments.

Requirements

  • At least 3 years of relevant TTS experience.
  • Foundational knowledge of speech synthesis and TTS concepts.
  • Experience with model compression and computational optimization, including quantization, memory, and latency optimization.
  • Experience porting and optimizing models for NPUs or other AI accelerator environments.
  • Experience optimizing models with TensorRT and ONNX.
  • Understanding of audio signal processing.
  • Development and debugging experience in Linux environments.
  • Programming ability in Python, C++, shell, or similar languages.
  • Ability to use open-source deep-learning frameworks such as PyTorch.
  • Preferred: multilingual or multi-speaker TTS development experience; understanding or experience with speech/audio tokenization; publications in leading speech synthesis, machine learning, or AI venues; or a master's/doctoral degree in a related field.

Benefits

  • A 3-month probationary period may apply.
  • The interview process may include document screening, a video interview, an in-person or video interview, and offer discussions; steps may change depending on schedule and progress.
  • Veterans and employment-protected candidates are given preference according to applicable law.
  • Registered persons with disabilities are given preference according to applicable law.
  • A reference check may be conducted with the applicant's consent after the interview process.
42dot

About 42dot

501-1,000 employees

42dot builds software-defined vehicle and autonomous mobility platforms for automakers and mobility service providers. Its products include AI-driven vehicle software, data-based update services, and core platform components such as API gateways and identity/access management to connect services securely. The privately held company is headquartered in Seongnam-si, Gyeonggi-do, and focuses on transportation and automotive markets.

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