Research Scientist
Technologies
Python · PyTorch · DSP · audio signal processing · speech processing · ML pipelines · cloud technologies · inference systems
About David AI
Builds and licenses high-quality, diverse proprietary audio/speech datasets (100k+ hours, 15 languages) used to train next-gen speech and conversational AI models; B2B dataset licensing revenue.
Series B · 20–50 people
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Production engineering · Evidence for this classification:
operations minds to join us on our mission to push the frontier of audio AI. About our Machine Learning team Our Machine Learning team sits at the intersection of cutting-edge research and production systems, transforming raw audio into high-signal data for leading AI labs and enterprises. We own the full ML lifecycle - from researching novel speech processing algorithms to deploying models processing terabytes of audio daily. About this role As a Research Scientist at David AI you'll build cutting-edge speech and audio models, production inference systems and resilient pipelines that showcase what high-quality data can really do. In this role, you will Research, design, and implement solutions using advanced signal processing. algorithms and cutting edge ML models with application to speech and audio. Develop production-grade inference algorithms, pipelines, and APIs withHow jobs are selected
Employer postings · Data from · Sources