TTS Direction Algorithm Engineer

4 days ago


Central Region, Singapore X Star Technology Pte Ltd Full time $120,000 - $180,000 per year

Key Responsibilities:

  • Design and implement algorithms that direct or steer TTS output: e.g., controlling prosody, style, voice persona, emotion, pacing, emphasis, accent, dialect, intonation.
  • Collaborate with researchers and engineers to take breakthroughs in speech synthesis and apply them to production-scale TTS systems.
  • Work on components such as text normalization, phonetic/linguistic feature extraction, alignment modeling (text acoustic), prosody modeling, vocoder architectures or waveform generation.
  • Build evaluation frameworks and metrics for naturalness, intelligibility, expressiveness, latency, voice persona fidelity, bias/fairness across languages and dialects.
  • Create data pipelines and tooling for voice collection/labeling, human preference judgments, A/B testing for voice direction outputs.
  • Optimize system latency, throughput, memory/compute requirements, streaming support, real-time constraints for voice in conversation.
  • Ensure safe, inclusive, responsible voice output: avoid inappropriate style shifts, voice likeness issues, unintended biases or mis-interpretations. Collaborate with Safety, Policy, Product teams.
  • Integrate the directed-TTS algorithms into product platforms (ChatGPT voice, developer API, accessibility features) and work with product/infra teams to ensure scalability and reliability.

Qualifications:

Required:

  • MS or PhD in Computer Science, Electrical Engineering, Speech/Audio Signal Processing, Machine Learning, or equivalent experience.
  • Proven experience in designing and shipping production-grade TTS or speech-generation systems: e.g., text-to-speech, voice conversion, expressive prosody modeling. (E.g., the Voice AI role at OpenAI requires "building and shipping production voice or speech ML systems (TTS, voice cloning, or generative audio)".)
  • Deep understanding of the speech synthesis pipeline: text normalization, linguistic/phonetic features, acoustic modeling, vocoder/waveform generation, prosody modeling. (Again, from the voice role: "Deep understanding of speech synthesis pipelines: text normalization, linguistic/phonetic features, acoustics, vocoding, and prosody modeling.")
  • Strong ML engineering skills: Python + PyTorch (or another major framework), experience with data pipelines, model training/evaluation/serving, measurement of MOS/intelligibility/latency.
  • Experience with audio tooling, data augmentation for speech, and evaluation metrics for naturalness/latency/persona fidelity.
  • Excellent collaboration & communication skills; ability to work cross-functionally with research, product, design, infrastructure, safety/policy teams.

Preferred:

  • Experience with multilingual or dialectal voice systems, low-latency streaming TTS, expressive or adaptive voice personas.
  • Prior publication or contribution in speech synthesis, voice ML research (e.g., at top conferences, patents).
  • Experience with large-scale deployment of voice systems, optimizing latency/throughput in production (e.g., real-time voice API processing).
  • Familiarity with voice likeness / speaker identity protection / consent/licensing in voice systems.
  • Experience with prosody control, emotion modeling, or voice style transfer in TTS.


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