Principal Machine Learning Scientist
Core
Design and deliver AI-enabled workflows and machine learning solutions to improve decisions across Universal Music Group in areas like fan intelligence, catalog understanding, financial forecasting, and ecosystem integrity.
Role type
Principal Machine Learning Scientist (Senior IC)
Builds
Production ML models, decision systems, and AI evaluation frameworks for music industry applications.
Domain
Music industry, Applied AI, Machine Learning
Deliverable
production ML models
Required skills
Advanced training in CS/statistics/math/economics, extensive ML system development/deployment, deep production experience in recommender systems/forecasting/causal inference, modern AI system design (LLMs/retrieval/safety), Python expertise, cloud platform experience (GCP/AWS), data quality and model monitoring expertise, technical leadership and mentorship.
Preferred skills
Experience in music/media/entertainment/streaming, complex non-tabular data (audio/text/image/video), artist discovery/fraud detection/trust and safety applications, decision-support product building, model governance and copyright safety protocols, published research or patents.
Technologies
PyTorch, TensorFlow, JAX, scikit-learn, GCP, AWS
Responsibilities
Frame ambiguous business problems into ML/statistical/optimization tasks, lead initiatives from problem definition through production deployment, build models for personalization and forecasting, move generative AI from prototype to production, define evaluation frameworks for quality and safety, partner with cross-functional teams to build trusted systems, establish reusable practices for data and model governance, mentor practitioners and raise technical standards.
Seniority
Principal, hands-on IC with technical leadership
