Lead Scientist, Machine Learning

We are UMG, the Universal Music Group. We are the world’s leading music company. In everything we do, we are committed to artistry, innovation and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music, music publishing, merchandising, and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters, and we produce, distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world.

To design, develop, and scale high‑impact machine learning systems that directly support UMG’s forecasting, automation, and strategic decision‑making capabilities. You will translate ambiguous business problems into well‑defined modeling approaches, lead complex modeling initiatives end‑to‑end, and serve as a technical authority within UMG’s applied ML organization. You are both a deep individual contributor and a force multiplier for the broader team.

• Own the design and execution of core machine learning initiatives across priority business domains. You will evaluate problem structure and data characteristics to determine when traditional ML, Generative AI, or deterministic approaches are most appropriate, in alignment with UMG’s “right tool for the job” framework.
• Design, build, and product ionize machine learning models across the full lifecycle—from feature engineering and training to deployment, monitoring, and retraining. You will proactively identify model degradation, concept drift, and regime changes driven by market or business shifts.
• Act as technical lead on complex modeling efforts, setting modeling standards and best practices while mentoring junior scientists. You will review modeling approaches for rigor, interpretability, and business relevance.
• Partner closely with Finance, Data, Product, and Engineering teams to integrate ML outputs into driver‑based financial models, dashboards, and decision‑support tools. You will help stakeholders understand why models move, not just that they move.
• Design and evaluate Generative AI use cases where unstructured data, language, or synthesis meaningfully improve outcomes. You will prototype, validate, and product ionize LLM‑based workflows with appropriate safeguards around accuracy, privacy, and IP protection.
• Ensure that GenAI systems are grounded in reliable data sources and integrated with deterministic or predictive models where appropriate, avoiding standalone “black box” deployments.
• Partner with Legal, Privacy, and Data teams to ensure all models meet UMG’s standards for ethical use, explainability, and data lineage. You will help enforce strong data hygiene and documentation practices across the ML stack.
• Contribute to defining success metrics for ML initiatives and support ROI measurement through accuracy gains, operational efficiency, revenue lift, or risk reduction.

• MS or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of hands‑on experience building and deploying machine learning models for real‑world business problems.
• Strong proficiency in Python and modern ML libraries (PyTorch, Tensor Flow, Scikit‑Learn; Transformers experience strongly preferred).
• Practical experience with Generative AI and LLMs, including prompt design, evaluation, and integration into production workflows.
• Experience deploying models in cloud‑native environments, ideally within AWS (Sage Maker, EC2, Glue).
• Ability to clearly explain modeling tradeoffs and results to technical and non‑technical partners.

• Comprehensive medical, dental, and vision coverage
  • 100% coverage for out‑patient in‑network mental health services
  • Fertility coverage for eligible medical plan participants
• Wellbeing reimbursements for fitness classes, spa treatments, meal services, travel, and so much more (up to $720/year)
• Student Loan Repayment Assistance and Tuition Reimbursement
• 401(k) with 100% immediate vesting on the first 5% of your contributions, plus an additional UMG contribution
• Flexible Paid Time Off (PTO) for exempt employees
• 3‑weeks PTO for non‑exempt employees
• 2‑weeks paid…