Rime Labs - Machine Learning Scientist

• Deep familiarity with the speech synthesis literature, contemporary and historical — Tacotron, FastSpeech, VITS, VALL-E, the codec-LM lineage. Opinions on what worked and why. • 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. You notice when an annotation pipeline is silently degrading or when an eval set has leakage. • 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. • Background in prosody or paralinguistics. • Published work in speech, audio, or core ML venues. • Experience taking research models to production: quantization, distillation, streaming inference.