Job DescriptionAs a Senior Research Scientist, your focus is post-training - curating data, fine-tuning pre-trained speech models, and building the evaluation infrastructure that validates it all. You'll work on large-scale models with access to significant data resources.
What you'll do- Shape the data that goes into post-training - sourcing, cleaning and structuring it for large speech models
- Supervised fine-tuning of pre-trained speech models
- Build evaluation workflows - automated and human-in-the-loop
- Drive measurable improvements in hallucination rates, instruction-following and generalisation
What you'll bring- PhD in ML or related field with a strong publications record
- Hands-on experience training large speech models - ASR, TTS, or speech-to-speech
- Solid post-training and SFT experience
The founding team includes a founding engineer from a billion-dollar AI company where they co-created one of the first generative models in the field, alongside the co-creator of the first generative voice at one of the world's largest tech companies.
Compensation is between $400k-$500k base with generous equity.
Based in San Francisco, onsite. Relocation support for those in US and willing to make the move.
