Rime — Machine Learning Scientist

job posting·professional role·active

Official active full-time posting for Machine Learning Scientist at Rime, located in United States.

Recorded facts

Official site	https://jobs.ashbyhq.com/rime/b76243da-3ce0-463e-9f29-2b6d1b78666e ↗
Geography	United States
job board posting id	b76243da-3ce0-463e-9f29-2b6d1b78666e
team	Modeling
location	United States
seniority	unspecified
department	Modeling
exact title	Machine Learning Scientist
role family	machine_learning_and_research
closing date	unknown
compensation	disclosed: false · parse state: not_publicly_disclosed
posting date	2026-05-15
employer name	Rime
posting status	active
workplace type	remote
employment type	full-time
required skills	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.
selection basis	official_current_board_freshness_or_domain_critical_role
employer subtype	speech_audio_ai_company
preferred skills	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.; WHY JOIN RIME; 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.; Meaningful equity upside.; High ownership, high standards, low bureaucracy.
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.
work authorization	unknown
education requirements	PhD or equivalent research experience in speech, audio, ML, or computational linguistics or a track record that makes the credential irrelevant.