Research Scientist (Model Evaluation)

At Sanas, model quality spans dimensions that automated metrics struggle to capture — accent naturalness, perceptual clarity, speaker identity preservation, noise suppression without speech distortion, translation fluency under real-world disfluency. We’re looking for a Research Scientist who can define what better actually means across all of Sanas’s model families, build the evaluation infrastructure to measure it rigorously, and close the loop between research progress and real‑world impact. This role sits at the intersection of research, product, and infrastructure — and directly shapes how every model team at Sanas measures progress.
Design and own evaluation frameworks across Sanas’s full model portfolio — Accent Translation, Noise Cancellation, Speech Enhancement, Language Translation, and more — ensuring each captures meaningful progress, not just benchmark performance.
Develop novel quantitative metrics for subjective and perceptual qualities: accent similarity, naturaln...