Lead Machine Learning Engineer

Build reliable data and feature pipelines from streaming consumption data, release metadata, social campaign data, catalog information, and commercial finance systems; monitor completeness, freshness, anomalies, and data lineage. Develop and operate models across personalization, recommender systems, search and ranking, time-series forecasting, anomaly detection, and decision support-choosing a simpler reliable approach whenever is appropriate.

A bachelor’s or advanced degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience. Typically 5+ years of experience in software, machine learning, data, or platform engineering with ownership of production systems and ambiguous, high-impact problems. Experience engineering modern AI systems, including LLM-based workflows, retrieval, grounding, structured generation, tool use, safety controls, and human review, with clear evaluation and monitoring practices. Strong Python and software engineering skills, including testing, code review, version control, debugging, maintainable design, and experience with a second production language or equivalent systems experience. Experience with cloud-based data and ML platforms. UMG workloads use GCP and BigQuery; experience with services such as Vertex AI, Dataflow, or Cloud Composer is valuable, while equivalent AWS or cloud-agnostic experience is also relevant. Experience building and operating data pipelines, distributed systems, APIs, services, workflow orchestration, model serving, batch or online inference, and refresh or retraining processes. Ability to collaborate across technical and business disciplines, communicate tradeoffs clearly, take ownership without formal authority, and choose a simpler reliable solution when it is better than a more complex model. Especially valuable Experience in music, media, entertainment, streaming marketplaces, advertising, or another industry where culture, consumer behavior, and business conditions change rapidly. Experience working with complex non-tabular data, such as audio, text, images, or video. Experience building decision-support products and automated workflows rather than standalone models or static dashboards. Experience establishing model governance, data provenance, copyright safety protocols, or human-in-the-loop review systems. Experience building systems for artist discovery, catalog understanding, fan marketing, rights management, fraud detection, or trust and safety., 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. E-Verify Participation Poster: English / Spanish E-Verify Right to Work Poster: English | Spanish

Job Category: Data, Analytics & Business Intelligence Salary Range: $200k-$250k 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.

Join an entrepreneurial, global organization where authenticity, boldness, creativity, connection, drive, and insight aren’t just values-they’re how we work every day.

• 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
• 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

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. How we LEAD: Universal Music Group is building an Applied AI and Machine Learning function to help our teams discover and develop artists, connect with fans, make stronger commercial decisions, and protect the integrity of the music ecosystem., All candidates are encouraged to apply. We are Universal Music Group, the world’s leading music company. We are the home for music’s greatest artists, innovators and entrepreneurs. #J-18808-Ljbffr