Machine Learning Researcher - Audio

A Machine Learning Researcher at Protege leads the evaluation and optimization of large-scale speech and audio datasets to ensure high quality for downstream AI models. The role involves developing new metrics, benchmarks, and filtering frameworks that correlate signal fidelity with model performance across ASR, TTS, and multimodal systems. Candidates will translate original research into practical tools and quality standards while collaborating with engineers to enhance data integrity.