5-7 years of experience in machine learning, specifically in audio processing.
Hands-on experience with neural audio codecs or audio tokenizers.
Proven track record of taking TTS models from research to production scale.
Experience in post-training processes to enhance model reliability and stability.
Familiarity with low-latency telephony systems and ASR technologies.
Published research as a first or second author in specialized areas of audio processing.
Responsibilities
Own the text-to-speech model from research prototype to production.
Conduct post-training to fix mispronunciations and enhance model stability.
Collaborate with speech-to-speech and LLM researchers.
Implement neural audio codecs and discrete audio representations.
Ship models into a low-latency telephony-class path.
Benefits
Healthcare coverage including dental and vision.
Equity options available.
Flexible work arrangements with hybrid or fully remote options.
Full Job Description
Machine Learning Researcher, Audio (TTS)
The text-to-speech model already works really well. The job is the last 10% of post-training: the pronunciation errors and small issues that only show up live.
The role
You'll own the text-to-speech model from research prototype to production. That means post-training it until it's reliable and stable, fixing mispronunciations and the issues that only appear live, and building on neural audio codecs and discrete audio representations.
You'll ship into a low-latency, telephony-class path and work alongside the speech-to-speech and LLM researchers. You report to the Head of AI in a deliberately flat team, with a possible technical lead path for the right person.
What we're looking for
Hands-on ownership of a neural audio codec or audio tokenizer, from training objective through to evaluation.
Experience training generative audio models with a clear personal contribution to the architecture and training, beyond data, evals or product glue.
Real industry experience taking a TTS model from research prototype to production scale, plus post-training work that made it reliable and stable. You can ship as well as publish.
Shipping into a low-latency telephony path, ASR experience alongside TTS, and first or second author papers in non-generic areas are a bonus.
Salary and benefits
Up to around $300K depending on experience, plus equity. Healthcare, including dental and vision.
Logistics
San Francisco office hybrid or fully remote. Start as soon as possible.
