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

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

Position Lead Scientist, Machine Learning - Santa Monica, 90404
Posted 06 Jun 2026
Expired 06 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 Lead Scientist, Machine Learning - Santa Monica, 90404. If the Lead 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 Lead Scientist, Machine Learning - Santa Monica, 90404 below matches your qualifications.

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

How we LEAD:

To design, develop, 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 approaches, lead complex modeling initiatives end-to-end, and serve as a technical authority within UMGs applied ML organization. You are both a deep individual contributor and a force multiplier for the broader team.

Bring your VIBE:

Applied ML Leadership:

  • 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 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.
  • 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.

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 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 UMGs 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.

Bring your VIBE:

  • 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, 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).
  • Ability to clearly explain modeling tradeoffs and results to technical and non-technical partners.

Job Info:

  • Company: Universal Music Group
  • Position: Lead 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 Lead 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.

Next Page ยป

Similar Job Vacancies

  Job Search Agregator 2026
About Us
Privacy Policy
Disclaimer
Terms and Conditions
Contact Us
Submit XML Feed

© Jobkos

  By visiting the Jobkos website, viewing, accessing, or using any of the services or information created, collected, compiled, or submitted to Jobkos, you agree to be bound by the following Terms and Conditions of Service.
Created by Jobkos | | | |