Full Stack Producer (Music Notation, Audio ML)
Core
Evaluate the quality of AI models working with music notation and audio through QA, data labeling, and benchmarking.
Role type
Senior IC machine-learning evaluator (music notation and audio) (via careerplan.io/jobs/FA-001-9D-277-full-stack-producer-music-notation-audio-ml-at-muse-group)
Builds
High-quality golden datasets for OMR, Audio2Score, and Autograde models
Domain
Music technology + Machine Learning
Deliverable
production ML models
Required skills
Music notation literacy, Optical Music Recognition (OMR) evaluation, Audio-to-Score transcription evaluation, Rubric-based QA scoring, Dataset spot-checking, Competitor benchmarking, Golden dataset labeling
Preferred skills
Transcription of audio to score, Experience with adjacent projects (AutoSync, Audio2Chords)
Technologies
OMR, Audio2Score, Autograde, MSCZ, MatchMySound
Responsibilities
Expert-score OMR and A2S releases, Run quarterly QA cycles with AB-tests, Conduct competitor benchmarking, Perform sanity checks on model candidates, Spot-check outputs against ground truth, Build and label the Autograde golden test set, Extend the golden dataset by transcribing audio
Seniority
Senior, hands-on IC
