Rime

Machine Learning Scientist

United States

H1B sponsorship availableDetected 67 days ago

RESTMachine LearningPyTorchResearchCollaboration

About the role

We're hiring a Machine Learning Scientist to push the frontier of speech synthesis and speech understanding at Rime.
Choose and iterate on speech representations: neural codecs, semantic tokens, mel features, continuous latents.
Hold the bar on quality and prosodic control.

Building voice models is an art.
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.
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.
Maintain a growth mindset, finding joy in the struggle
Do the right things, knowing that it'll lead to making money

Experience with full- or half-duplex multi-modal modeling (Moshi, LLaMA-Omni, streaming S2S).
Working knowledge of TTS frontend (G2P, normalization, prosody) and experience working with linguists.
PhD or equivalent research experience in speech, audio, ML, or computational linguistics or a track record that makes the credential irrelevant.

Multilingual TTS experience.
Background in prosody or paralinguistics.
Published work in speech, audio, or core ML venues.
Experience taking research models to production: quantization, distillation, streaming inference.
Category-defining voice AI infrastructure, not incremental research deltas.
Direct collaboration with founders, including a CEO with a Stanford computational linguistics PhD.
Real impact on company trajectory.
High ownership, high standards, low bureaucracy.

This listing is sourced directly from Rime's careers page and normalized into a canonical job model.