Senior Data Scientist, Audio
Core
Characterize conversational audio data, design active-learning loops, and build automated pipelines to improve speech models.
Role type
Senior IC data scientist (audio/speech)
Builds
Curated datasets, active-learning workflows, and repeatable model adaptation pipelines
Domain
AI/ML, Speech Recognition (ASR), Audio Processing
Deliverable
production ML models
Required skills
Python, data characterization, active learning, model evaluation, automation, data pipeline engineering
Preferred skills
ASR/TTS experience, multilingual/code-switched data handling, ensemble/pseudo-labeling, LLM-assisted annotation, custom model fine-tuning
Technologies
Python, cloud APIs, self-hosted/on-prem deployments
Responsibilities
Characterize data diversity and quality; design systematic active-learning loops; build tooling for human-in-the-loop workflows; create representative benchmarking datasets; run experiments to validate data strategies; automate domain-specific model adaptation.
