Senior Data Scientist, Audio
Core
Characterize conversational audio data, design active-learning loops, and build data strategies to improve speech models.
Role type
Senior IC data scientist (audio/data strategy)
Builds
Curated datasets, active-learning loops, and model-improvement pipelines
Domain
Voice AI / Speech-to-Text (STT)
Deliverable
production ML models
Required skills
Python, data characterization, active learning, speech/audio model reasoning, data pipeline automation, experimental design
Preferred skills
ASR/TTS experience, multilingual/code-switched data, ensemble labeling, LLM-assisted annotation, PII/GDPR-aware pipelines
Technologies
Python, NLP models, ASR/TTS models
Responsibilities
Understand and characterize data (languages, conditions, domains, speakers, quality); Design and build active-learning loops; Design workflows for human-in-the-loop; Build representative benchmarking datasets; Run experiments to validate data strategies; Automate model adaptation pipelines
