Principal Scientist, Machine Learning

We are UMG the Universal Music Group. We are the worlds leading music 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.

How we LEAD:

To design lead and scale high-impact machine learning systems that directly support UMGs forecasting automation and strategic decision-making capabilities. You will translate ambiguous business problems into well-defined modeling strategies set technical direction across multiple ML initiatives and act as a senior technical authority within UMGs applied ML organization. You are both a deep individual contributor and a force multiplier for the broader team operating as a key partner to the SVP of Machine Learning.

How youll CREATE:

Applied ML Leadership:

• Own the technical direction and execution of ML initiatives across priority business domains including scoping prioritization and tradeoff decisions across competing approaches.
• You will evaluate problem structure and data characteristics to determine when traditional ML Generative AI or deterministic approaches are most appropriate in alignment with UMGs right tool for the job framework.
• Design build and productionize machine learning models across the full lifecyclefrom 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.
• Serve as the technical lead across complex multi-workstream modeling efforts setting standards reviewing architecture decisions and ensuring consistency across teams and use cases.
• Mentor and elevate senior and junior scientists alike shaping modeling standards review practices and technical rigor across the organization.
• 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.
• Act as a senior advisor to business and technical leadership helping shape how ML is applied to UMGs highest-priority problems.

Generative AI & Advanced Modeling:

• Design and evaluate Generative AI use cases where unstructured data language or synthesis meaningfully improve outcomes. You will prototype validate and productionize LLM-based workflows with appropriate safeguards around accuracy privacy and IP protection.
• Ensure that GenAI systems are anchored in reliable data and complemented by deterministic or predictive models where appropriate minimizing reliance on autonomous deployments that cannot be readily validated or explained.
• Partner with Legal Privacy and Data teams to ensure all models meet UMGs standards for ethical use explainability and data lineage. You will help enforce strong data hygiene and documentation practices across the ML stack.
• Define and standardize evaluation frameworks for both predictive models and GenAI systems ensuring consistent measurement of performance risk and business impact.
• Contribute to defining success metrics for ML initiatives and support ROI measurement through accuracy gains operational efficiency revenue lift or risk reduction.

Bring your VIBE:

• MS or PhD in Computer Science Statistics Mathematics or a related quantitative field.
• 812 years of experience building and deploying machine learning systems in production including ownership of complex high-impact initiatives.
• Strong proficiency in Python and modern ML libraries (PyTorch TensorFlow 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 (SageMaker EC2 Glue).
• Demonstrated ability to operate with high autonomy in ambiguous environments and influence senior stakeholders across technical and business domains.
• Ability to clearly explain modeling tradeoffs and results to technical and non-technical partners.

Perks Playlist:

Join an entrepreneurial global organization where authenticity boldness creativity connection drive and insight arent just valuestheyre how we work every day. Here are some of the ways we support you along the way (and just a few of the benefits we offer):

• Comprehensive medical dental and vision coverage

• Including 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

A variety of ways to prioritize much-needed time away from work including:

• Flexible Paid Time Off (PTO) for exempt employees

• 3-weeks PTO for non-exempt employees

• 2-weeks paid Winter Break

• 10 Company Holidays (including Juneteenth and Wellbeing Day)

• Summer Fridays (between Memorial Day and Labor Day)

• Generous paid parental leave for every type of parent

Check out our full overview of benefits on the Perks Playlist page of the career site.

Disclaimer: This job description only provides an overview of job responsibilities that are subject to change.

Universal Music Group is an Equal Opportunity Employer

We are an E-Verify employer in Alabama Arizona Georgia Mississippi North Carolina South Carolina Tennessee and Utah.

Please note UMG is not enrolled in E-Verify in California and New York and cannot support employment of candidates whose employer must enroll in E-Verify for example candidates on STEM-OPT.

For more information please click on the following links.

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Job Category:

Salary Range:

The actual base salary offered depends on a variety of factors which may include as applicable the qualifications of the individual applicant for the position years of relevant experience specific and unique skills level of education attained certifications or other professional licenses held and the location in which the applicant lives and/or from which they will be performing the job. All candidates are encouraged to apply.