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Machine Learning Scientist

Rime· Modeling
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RemoteFull-timePosted 3mo ago

About the role

Rime builds voice AI for enterprises with a focus on high-volume speech synthesis and understanding. The role centers on advancing speech synthesis, handling full-/half-duplex multi-modal architectures, and collaborating with linguists to align modeling with frontend behavior.

Responsibilities

  • Design, train, and evaluate speech synthesis models, autoregressive and non-autoregressive.
  • Drive research on full-duplex and half-duplex multi-modal architectures, including unified S2S systems.
  • Choose and iterate on speech representations: neural codecs, semantic tokens, mel features, continuous latents.
  • Build rigorous evaluation, objective and perceptual. Hold the bar on quality and prosodic control.
  • Collaborate with our linguists on TTS frontend behavior so modeling and frontend choices reinforce each other.

Qualifications

  • Deep familiarity with the speech synthesis literature, contemporary and historical — Tacotron, FastSpeech, VITS, VALL-E, the codec-LM lineage.
  • Hands-on training with neural codecs (EnCodec, DAC, Mimi, etc.) and multiple representation choices.
  • Experience with full- or half-duplex multi-modal modeling (Moshi, LLaMA-Omni, streaming S2S).
  • Strong attention to detail on data quality.
  • Willing to roll up your sleeves on unglamorous data and training work — paired with the agency to build pipelines so the team isn't stuck doing it by hand.
  • Working knowledge of TTS frontend (G2P, normalization, prosody) and experience working with linguists.
  • Strong PyTorch fundamentals. Comfortable with training loops, distributed training, model internals.
  • PhD or equivalent research experience in speech, audio, ML, or computational linguistics or a track record that makes the credential irrelevant.

Skills

Required:Speech synthesis modelingMulti-modal modelingNeural codecsTTS frontendPyTorchData quality & evaluationResearch & publication

Benefits

  • Competitive base + meaningful early-stage equity
  • Remote-friendly
  • Visa sponsorship available
  • Access to a proprietary, full-duplex, studio-quality conversational speech corpus
  • Compute and tooling to do the work
  • Direct influence on the future of voice AI
Last updated Jul 16, 2026. Interested? Apply on the company site.

About Rime

Rime | Trusted AI voice models for enterprise

AI voice models for enterprise-grade AI TTS focused on pronunciation and multilingual deployment.

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