Home » Principal Scientist, Machine Learning - Santa Monica, 90404

Principal Scientist, Machine Learning - Santa Monica, 90404 at Universal Music Group

Position Principal Scientist, Machine Learning - Santa Monica, 90404
Posted 15 Jun 2026
Expired 15 Jul 2026
Company Universal Music Group
Location Santa Monica | US
Job Type Full Time

Job Description:

Latest job information from Universal Music Group for the position of Principal Scientist, Machine Learning - Santa Monica, 90404. If the Principal Scientist, Machine Learning - Santa Monica, 90404 vacancy in Santa Monica matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Universal Music Group for the position of Principal Scientist, Machine Learning - Santa Monica, 90404 below matches your qualifications.

Principal Scientist, Machine Learning - Santa Monica, 90404, United States of America

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.

Job Info:

  • Company: Universal Music Group
  • Position: Principal Scientist, Machine Learning - Santa Monica, 90404
  • Work Location: Santa Monica
  • Country: US

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Principal Scientist, Machine Learning - Santa Monica, 90404 at the office Santa Monica above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.

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